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Machine Learning patents

      

This page is updated frequently with new Machine Learning-related patent applications.

Multi-pass compression of uncompressed data
Introduced here is a technique to create small compressed image files while preserving data quality upon decompression. Upon receiving an uncompressed data, such as an image, a video, an audio, and/or a structured data, a machine learning model identifies an object in the uncompressed data such as a house, a dog, a text, a distinct audio signal, a unique data pattern, etc.
Groq, Inc.


Compressive sensing capturing device and method
A compressive sensing capturing device has circuitry, which is configured to obtain compressive sensing image data; and to set a device attribute based on image attribute data, wherein the image attribute data are based on a machine learning algorithm performed in the compressing domain on the obtained compressive sensing image data.. .
Sony Corporation


Buffer sizing of a noc through machine learning
The present disclosure is directed to buffer sizing of noc link buffers by utilizing incremental dynamic optimization and machine learning. A method for configuring buffer depths associated with one or more network on chip (noc) is disclosed.
Netspeed Systems, Inc.


Extracting features from a noc for machine learning construction
The present disclosure is directed to extracting features from a noc for machine learning construction. Example implementations include a method for generating a network on chip (noc), wherein the method can extract at least one feature from a noc specification to derive at least one of: grid features, traffic features and topological features associated with the noc.
Netspeed Systems, Inc


Infrastructure to apply machine learning for noc construction
The present disclosure is directed to machine learning (ml) based network-on-chip (noc) construction. Example implementations of the present disclosure utilize a ml process for making decisions to evaluate whether a noc design finally obtained is optimized for a desired implementation during construction of a noc.
Netspeed Systems, Inc.


Strategies for noc construction using machine learning
Aspects of the present disclosure relate to methods, systems, and computer readable mediums for generating/constructing noc based on one or more strategies that are selected by a machine-learning engine (mle) from a plurality of available strategies based on an input noc specification. In an aspect, the method can include the steps of processing a network on chip (noc) specification through a process to generate a vector for a plurality of noc generation strategies, wherein the vector is indicative of which strategies from the plurality of noc generation strategies are to be used to generate the noc to meet a quality metric; and generating the noc by using the strategies from the plurality of noc generation strategies indicated by the vector as the strategies to be used to generate the noc, wherein the process is generated through a machine learning process that is trained for the plurality of noc generation strategies..
Netspeed Systems, Inc.


Domain terminology expansion by sensitivity
Methods, computer program products, and systems are presented. The methods include, for instance: determining that one or more word of a feature vector more supports than negates a language model corresponding to the domain based on a sensitivity of respective word.
International Business Machines Corporation


Adaptive machine learning system
Apparatuses, systems, methods, and computer program products are disclosed for adaptive machine learning. An apparatus includes a monitoring module that continuously monitors one or more interactions of a user while the user performs one or more simulated tasks digitally presented to the user that are associated with a learning path.
Analyttica Datalab Inc.


Process of using machine learning for cannabis plant health diagnostics
The ability to make real-time and high accuracy diagnostic determinations is critical for high volume, high value crops, such as cannabis. Advances in learning-based algorithms provide an improved way to perform plant health diagnostics.

Automated methods and systems to schedule activities
This disclosure is directed to fully automated schedule recommendation methods and systems that generate one or more predicted schedules of activities. The activities can be events, classes, courses, camps, workshops, private lessons, tutoring sessions, or any organized activities, lessons or schedules items offered by enrichment provider.
6crickets, Inc.


Entity resolution incorporating data from various data sources which uses tokens and normalizes records

A pair of records is tokenized to form a normalized representation of an entity represented by each record. The tokens are correlated to a machine learning system by determining whether a learned resolution already exists for the two entities.
Microsoft Technology Licensing, Llc

Machine learning device that learns shocks to teaching device, shock prevention system of teaching device, and machine learning method

A machine learning device, which learns shocks to a teaching device, includes a state observation unit which observes data based on an inclination of the teaching device or a present position of the teaching device; a label obtaining unit which obtains a label based on a shock received by the teaching device; and a learning unit which generates a learning model based on an output of the state observation unit and an output of the label obtaining unit.. .
Fanuc Corporation

Transfer learning and domain adaptation using distributable data models

A system for transfer learning and domain adaptation using distributable data models is provided, comprising a network-connected distributable model configured to serve instances of a plurality of distributable models; and a directed computation graph module configured to receive at least an instance of at least one of the distributable models from the network-connected computing system, create a second dataset from machine learning performed by a transfer engine, train the instance of the distributable model with the second dataset, and generate an update report based at least in part by updates to the instance of the distributable model.. .
Fractal Industries, Inc.

Metrics to train machine learning predictor for noc construction

The present disclosure is directed to machine learning (ml) based network-on-chip (noc) construction. Methods, systems, and computer readable mediums of the present disclosure utilize a ml process for making decisions to evaluate whether a noc design finally obtained is actually the most optimal and efficient one or not during construction of a noc.
Netspeed Systems, Inc.

Systems and methods to reduce feature dimensionality based on embedding models

Systems, methods, and non-transitory computer readable media are configured to obtain a first identifier and a second identifier for at least one entity constituting potential features to train a machine learning model. The first identifier and the second identifier are applied to an embedding model for generating vector representations in a vector space associated with a desired feature dimensionality.
Facebook, Inc.

Identity prediction for unknown users of an online system

For a visit of a user to a web page where the user's identity on an online system is not presently known to the online system, the online system uses a machine learning model to make a prediction of the user's identity. The online system obtains visit data about the visit of the user to the web page.
Facebook, Inc.

Security classification by machine learning

A computer-implemented method that includes a computing system receiving a plurality of data items that include content data. The system then generates a first inference model based on the received content data.
Accenture Global Solutions Limited

Apparatus and processing content

A content processing apparatus and method is provided, in which content input by a user is processed by determining whether transmission of the content corresponds to an abnormal pattern when a relation between the user and the other party is taken into account, and for automatically adjusting a permissible level by learning whether the content is an abnormal pattern based on the user's response. The content processing apparatus can estimate whether the content corresponds to an abnormal pattern by using a rule-based algorithm or an artificial intelligence (ai) algorithm when determining whether the content corresponds to the abnormal pattern.
Samsung Electronics Co., Ltd.

Generating training data for automatic vehicle leak detection

A vehicle controller receives images from a camera upon arrival and upon departure. A location of the vehicle may be tracked and images captured by the camera may be tagged with a location.
Ford Global Technologies, Llc

Analyzing technical documents against known art

Embodiments of the present invention provide techniques for analyzing technical documents against known art. One or more machine learning classifiers are trained by a training set.
International Business Machines Corporation

Endpoint detection and response utilizing machine learning

A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes.
Cylance Inc.

Visualization framework based on document representation learning

A visualization framework based on document representation learning is described herein. The framework may first convert a free text document into word vectors using learning word embeddings.
Siemens Medical Solutions Usa, Inc.

Machine learning device for machine tool and thermal displacement compensation device

A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold..
Fanuc Corporation

Machine learning-based troubleshooting of volte calls

A volte diagnostic engine may receive volte call records of volte calls that are carried by a wireless carrier network for multiple user devices. The volte call records may include performance indicators and call features for the voice calls.
T-mobile, U.s.a., Inc.

Optimization of broadcast event effectiveness

Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser..
Bliss Point Media, Inc.

Encoding method, decoding method, encoding apparatus, decoding apparatus, and encoding and decoding apparatus

To provide an encoding method for reducing deterioration in encoding efficiency when encoding a video/an image by selecting one operation mode out of a number of operation modes. The encoding method includes: extracting one or more features from one or more reconstructed pixel groups; categorizing the one or more reconstructed pixel groups using the extracted one or more features and a first machine learning model; and performing an encoding process on a current block of image samples included in a current picture using a parameter set corresponding to a result of the categorizing, the parameter set being one of a plurality of predefined parameter sets..
Panasonic Intellectual Property Management Co., Ltd.

System and determining network security threats

System and methods for determining network threats are disclosed. For each entity operating in a network being monitored for network security, an example method obtains an observed metric value for each metric that characterizes actions performed by the entity.

Machine learning to generate music from text

The present disclosure provides systems and methods that leverage one or more machine-learned models to generate music from text. In particular, a computing system can include a music generation model that is operable to extract one or more structural features from an input text.
Google Inc.

Dynamic traffic control

In some implementations, a method includes receiving, by one or more processing devices configured to control a traffic signal at an intersection of roads, camera data providing images of the intersection, the processing devices being located proximate to the intersection, using one or more local machine learning models to identify objects at the intersection and paths of the objects based on the camera data, providing traffic data generated from outputs of the one or more local machine learning models to a remote traffic planning system over a network, receiving, from the remote traffic planning system, a remote instruction for the traffic signal determined using one or more remote machine learning models, and providing a control instruction to the traffic signal at the intersection that is determined based on (i) the remote instruction from the remote traffic planning system, and (ii) a local instruction generated by the processing devices.. .
X Development Llc

Machine learning based model localization system

A method for deriving an image sensor's 3d pose estimate from a 2d scene image input includes at least one machine learning algorithm trained a priori to generate a 3d depth map estimate from the 2d image input, which is used in conjunction with physical attributes of the source imaging device to make an accurate estimate of the imaging device 3d location and orientation relative to the 3d content of the imaged scene. The system may optionally employ additional machine learning algorithms to recognize objects within the scene to further infer contextual information about the scene, such as the image sensor pose estimate relative to the floor plane or the gravity vector.

Systems and methods for image matting

Systems, methods, and non-transitory computer-readable media can generate an initial alpha mask for an image based on machine learning techniques. A plurality of uncertain pixels is defined in the initial alpha mask.
Facebook, Inc.

System and analyzing media for talent discovery

A method for analyzing media to evaluate talent of a subject portrayed in the media is provided. The steps describe receiving a plurality of the media at a server, the media being performance based media; transforming the media into at least a data set corresponding to at least a characteristic of the media at the server, wherein the server is in communication with a node; identifying features in the data set that correspond to a probability of success of the subject in the media; receiving subjective opinion polling data from a plurality of participants as to whether the subject in the media has talent; training the node via machine learning algorithm to identify, using the identified features in the data set and the subjective opinion polling data provided, whether the subject is likely to have talent; and executing the machine learning algorithm to output a score relating to the talent of the subject in the media.

Self-learning automatically performing machine learning

Provided are a self-learning system and method for automatically performing machine learning (ml). The self-learning system includes a memory configured to store an ml knowledge database (db) in which ml knowledge is stored and a program for automatically performing ml based on request information of a user, and a processor configured to execute the program stored in the memory.
Electronics And Telecommunications Research Institute

Training a machine learning-based traffic analyzer using a prototype dataset

In one embodiment, a device in a network generates a feature vector based on traffic flow data regarding one or more traffic flows in the network. The device makes a determination as to whether the generated feature vector is already represented in a training dataset dictionary by one or more feature vectors in the dictionary.
Cisco Technology, Inc.

Processing real-time processing requests using machine learning models

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing consistent processing in a machine learning system are disclosed. A real-time processing request may be received and processed by both a preferred machine learning model and a fallback machine learning model.

Structured machine learning for improved whole-structure relevance of informational displays

The present disclosure provides systems and methods that use machine learning to improve whole-structure relevance of hierarchical informational displays. In particular, the present disclosure provides systems and methods that employ a supervised, discriminative machine learning approach to jointly optimize the ranking of items and their display attributes.
Google Inc.

Systems and methods for automatic real-time capacity assessment for use in real-time power analytics of an electrical power distribution system

A system for conducting a real-time power capacity assessment of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal.
Power Analytics Corporation

Data meta-scaling continuous learning

Provided is a data meta-scaling method. The data meta-scaling method optimizes an abbreviation criterion for abbreviating data through continuous knowledge augmentation in various dimensions which enable expression of data in a process of performing machine learning..
Electronics And Telecommunications Research Institute

Machine-learned virtual sensor model for multiple sensors

The present disclosure provides systems and methods that leverage machine learning to refine and/or predict sensor outputs for multiple sensors. In particular, systems and methods of the present disclosure can include and use a machine-learned virtual sensor model that has been trained to receive sensor data from multiple sensors that is indicative of one or more measured parameters in each sensor's physical environment, recognize correlations among sensor outputs of the multiple sensors, and in response to receipt of the sensor data from multiple sensors, output one or more virtual sensor output values.
Google, Inc.

Deep learning ingredient and nutrient identification systems and methods

Provided herein are exemplary methods and systems that include a deep learning ingredient and nutrient identification system that can learn from websites, databases, ontologies, recipes, food lists and restaurant menu items to identify ingredients, ingredient quantity, nutrient composition and diet adherence of different products, recipes or restaurant menu items, a propagation algorithm that can enhance or correct ingredient lists, ingredient quantity, nutrient composition and diet adherence for similar items in the food or activity databases, an adaptive ontology that can be learned from the internet and can be encoded to aid the machine learning or artificial intelligence algorithms to better learn the relationships between different food elements and groupings; and a contextual filtering and adherence scoring system that identifies and selects recipes, food products, supplements, medications and restaurant menu items according to a personalized plan.. .
Suggestic, Inc.

Method and supporting machine learning algorithms and data pattern matching in ethernet ssd

A data storage device includes a memory array for storing data; a host interface for providing an interface with a host computer running an application; a central control unit configured to receive a command in a submission queue from the application and initiate a search process in response to a search query command; a preprocessor configured to reformat data contained in the search query command and generate a reformatted data; and one or more data processing units configured to extract one or more features from the reformatted data and perform a data operation on the data stored in the memory array in response to the search query command and return matching data from the data stored in the memory array to the application via the host interface.. .
Samsung Electronics Co., Ltd.

Electronic apparatus and operating the same

An electronic apparatus includes a processor configured to obtain a plurality of images, extract deep features with respect to the plurality of images using a feature extraction model, classify the plurality of images into certain groups using the extracted deep features and a classification model, display a result of the classification on the display, determine whether the feature extraction model and/or the classification model need to be updated using the result of the classification, and train and update at least one of the feature extraction model and the classification model based on a result of the determination. The electronic apparatus may estimate a deep feature of an image using a rule-based or artificial intelligence (ai) algorithm.
Samsung Electronics Co., Ltd.

System and learning from the images of raw data

Aspects of the present disclosure involve a system and method for learning from images of transactional data. In one embodiment, a system is introduced that can learn from the images of transactional data.
Paypal, Inc.

Active machine learning for training an event classification

An event classification is trained by machine learning. An anomaly detection for detecting events in an image data set is thereby performed.
Carl Zeiss Industrielle Messtechnik Gmbh

Training data for machine-based object recognition

Systems and methods may enable a user who may not have any experience in machine learning to effectively train new models for use in object recognition applications of a device. Embodiments can include, for example, analyzing training data comprising a set of images to determine a set of metrics indicative of a suitability of the training data in machine-learning training for object recognition, and providing an indication of the set of metrics to a user.
Qualcomm Incorporated

Generating training images for machine learning-based objection recognition systems

A method and computing device, for generating training image data for a machine learning-based object recognition system is described. The method comprises receiving generic image data of an object type, receiving recorded image data related to the object type, and modifying the generic image data with respect to at least one imaging-related parameter.
Elektrobit Automotive Gmbh

Character detection method and apparatus

Disclosed embodiments relate to a character detection method and apparatus. In some embodiments, the method includes: using an image including an annotated word as an input to a machine learning model; selecting, based on a predicted result of characters inside an annotation region of the annotated word predicted and annotation information of the annotated word, characters for training the machine learning model from the characters inside the annotation region of the annotated word predicted; and training the machine learning model based on features of the selected characters.
Baidu Online Network Technology (beijing) Co., Ltd

Training an image classifier

In one embodiment, a method includes accessing for each of a plurality of input images a feature vector corresponding to the input image and metadata indicating a relationship of the input image to a predetermined concept; training with machine learning an image classifier associated with the predetermined concept based on the feature vectors of the input images and the metadata indicating their respective relationships to the predetermined concept; accessing for each of a plurality of evaluation images a feature vector that corresponds to the evaluation image; for each evaluation image calculating with the image classifier as trained a score indicating how closely related the evaluation image is to the predetermined concept, based on the feature vector corresponding to the evaluation image; and providing for display to a user one or more of the evaluation images and their respective scores as calculated by the image classifier.. .
Facebook, Inc.

Machine learning method and apparatus

A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.. .
Electronics And Telecommunications Research Institute

System for simplified generation of systems for broad area geospatial object detection

A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object.
Digitalglobe, Inc.

Malicious object detection in a runtime environment

A malicious object detection system for use in managed runtime environments includes a check circuit to receive call information generated by an application, such as an android application. A machine learning circuit coupled to the check circuit applies a machine learning model to assess the information and/or data included in the call and detect the presence of a malicious object, such as malware or a virus, in the application generating the call.

Continuous malicious software identification through responsive machine learning

A security system and method secures and responds to security threats in a computer having a cpu, a kernel/os, and software applications. A low-level data collector intercepts a selection of first tier calls between the cpu and kernel/os, and stores associated first tier call ids.
Barkly Protects, Inc.

Dynamic search and retrieval of questions

A method includes actions of accessing a database storing multiple forms of a particular type that are each associated with a score. The actions include obtaining data corresponding to one or more forms from the database storing forms that includes at least (i) one or more questions, (ii) one or more answers to the one or more questions, and (iii) a score, training a machine learning model hosted by a server, wherein training the machine learning model includes: processing the data corresponding to the one or more forms from the database storing forms into a plurality of clusters, and for each cluster, identifying a subset of questions, from the predetermined number of questions, that are uniquely associated with each cluster, and generating a dynamic question identification model based on the identified subset of questions for each cluster..
Universal Research Solutions, Llc

Dynamic faceting for personalized search and discovery

Methods, computer program products, and systems are presented. The methods include, for instance: determining user clusters and navigation-type clusters based on multiple information requests, and training facets and corresponding usefulness factor of the facets from the multiple information requests by machine learning.
International Business Machines Corporation

Method, apparatus, and computer program product for user-specific contextual integration for a searchable enterprise platform

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for integrating user-specific context indicators into a searchable enterprise platform. In one embodiment, an apparatus is configured to apply a learned user profile, to a set of search results to obtain a user-specific, ranked arrangement of search results.
Atlassian Pty Ltd

Guided machine-learning training using a third party cloud-based system

Systems and methods may enable a user who may not have any experience in machine learning to effectively train new models for use in object recognition applications of a device. Embodiments can include, for example, analyzing training data comprising a set of images to determine a set of metrics indicative of a suitability of the training data in machine-learning training for object recognition, and providing an indication of the set of metrics to a user.
Qualcomm Incorporated

Multi-task machine learning for predicted touch interpretations

The present disclosure provides systems and methods that leverage machine learning to predict multiple touch interpretations. In particular, the systems and methods of the present disclosure can include and use a machine-learned touch interpretation prediction model that has been trained to receive touch sensor data indicative of one or more locations of one or more user input objects relative to a touch sensor at one or more times and, in response to receipt of the touch sensor data, provide one or more predicted touch interpretation outputs.
Google Inc.

Demand response dispatch system employing weather induced energy consumption

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a machine learning model analysis on each set to yield machine learning model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.. .
Enernoc, Inc.

Weather induced demand response dispatch system

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a non-linear parabolic analysis on each set to yield machine learning model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.. .
Enernoc, Inc.

System for demand response dispatch employing weather induced facility energy consumption characterizations

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a machine learning model analysis on each set to yield machine learning model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.. .
Enernoc, Inc.

Bio-sensing glasses to detect cardiovascular disease

Bio-sensing devices are embedded as part of smart eye-wear system, comprising of a pair of temples and a nose pad. A plurality of sensors disposed within the eye-glasses and are adapted to acquire, analyze, and classify biometric information to monitor and detect abnormal heart behavior and to predict congestive heart failure.
Awaire Inc.

Systems and methods for presenting content based on unstructured visual data

Systems, methods, and non-transitory computer-readable media can receive a plurality of content items. Tag information is generated for each content item of the plurality of content items.
Facebook, Inc.

System and detecting malware

A system and method for detecting malware. The system and method is designed to detect malware without the requirement of malware signatures.

Traffic mapping of a network on chip through machine learning

In example implementations of the present disclosure, there is a processing of a specification and/or other parameters to generate a noc with traffic flows that meet the specification requirements. In example implementations, the specification is processed to determine the characteristics of the noc to be generated, the characteristics of the traffic flow (e.g.
Netspeed Systems, Inc.

Traffic mapping of a network on chip through machine learning

In example implementations of the present disclosure, there is a processing of a specification and/or other parameters to generate a noc with traffic flows that meet the specification requirements. In example implementations, the specification is processed to determine the characteristics of the noc to be generated, the characteristics of the traffic flow (e.g.
Netspeed Systems, Inc.

Traffic mapping of a network on chip through machine learning

In example implementations of the present disclosure, there is a processing of a specification and/or other parameters to generate a noc with traffic flows that meet the specification requirements. In example implementations, the specification is processed to determine the characteristics of the noc to be generated, the characteristics of the traffic flow (e.g.
Netspeed Systems, Inc.

System and network on chip construction through machine learning

In example implementations of the present disclosure, processing of a specification and/or other parameters generates a noc with flows that meet specification requirements. In example implementations, the specification is processed to determine the characteristics of the noc to be generated, the characteristics of flow (e.g.
Netspeed Systems, Inc.

Configuring heterogeneous computing environments using machine learning

In one embodiment, a device receives data regarding a plurality of heterogeneous computing environments. The received data comprises measured application metrics for applications executed in the computing environments and indications of processing capabilities of the computing environments.
Cisco Technology, Inc.

Method and device for transmitting and receiving audio data

An artificial intelligence (ai) system configured to simulate functions of a human brain, such as recognition, determination, etc., by using a machine learning algorithm, such as deep learning, etc., and an application thereof. The ai system includes a method performed by a device to transmit and receive audio data to and from another device includes obtaining a voice input that is input by a first user of the device, obtaining recognition information indicating a meaning of the obtained voice input, transmitting the obtained voice input to the other device, determining whether an abnormal situation occurs, in which a second user of the other device does not understand the transmitted voice input, and transmitting the obtained recognition information to the other device, based on a result of the determination..
Samsung Electronics Co., Ltd.

Parametric adaptation of voice synthesis

Software-based systems perform parametric speech synthesis. Tts voice parameters determine the generated speech audio.
Soundhound, Inc.

Detecting cheating in games with machine learning

Examples are disclosed that relate to detecting cheating at a game platform level using machine learning techniques. One example provides a computing system comprising a logic subsystem and a data-holding subsystem.
Microsoft Technology Licensing, Llc

Signal detection, recognition and tracking with feature vector transforms

A method for obtaining object surface topology in which image frames of a scene (e.g., video frames from a user passing a smartphone camera over an object) are transformed into dense feature vectors, and feature vectors are correlated to obtain high precision depth maps. Six dimensional pose is determined from the video sequence, and then used to register patches of pixels from the frames.
Digimarc Corporation

Systems and methods for medical acquisition processing and machine learning for anatomical assessment

Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parametrized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient..
Heartflow, Inc.

Systems and methods for custom ranking objectives for machine learning models applicable to fraud and credit risk assessments

A system for analyzing risk using machine learning models may be trained using a data set to generate a risk assessment model that is optimized for metrics commonly used in for financial risk evaluation. The metrics may include gini and capturerate, for example.
American Express Travel Related Services Company, Inc.

Systems and methods for assigning roles to user profiles for an incident

Systems and methods are described for automatically assigning roles for an incident to user profiles using machine learning techniques to optimize the overall suitability of the automatic role assignments and to adapt to manual role reassignments. One or more roles of a plurality of roles for an incident are automatically assigned to each user profile of a plurality of user profiles by the computer-based system applying a combinatorial optimization routine.
Motorola Solutions, Inc.

Information processing device, information processing system, information processing method, and storage medium

An information processing device according to the present invention includes: a dissimilarity calculator that calculates dissimilarity that is a distance between already received first alert information, and newly received second alert information; a machine learning generator that generates a classifier by applying machine learning to the first alert information, and determines a classification result by applying the classifier to the second alert information; and a determiner that sets the determination result and information indicating that presentation is unnecessary for the second alert information, when the determination result is false detection and the dissimilarity is less than a threshold value, and sets information indicating that presentation is necessary for the second alert information, when the determination result is true detection, or when the determination result is false detection and the dissimilarity is equal to or more than a threshold value.. .
Nec Corporation

Training signal processing model for component replacement in signal processing system

Embodiments of training signal processing models for component replacement in signal processing systems are disclosed. A device for training a third signal processing model via a machine learning method include a first calculating unit, a second calculating unit and a training unit.
Dolby Laboratories Licensing Corporation

Generating a knowledge base to assist with the modeling of large datasets

A system, computer-readable medium, and method are provided for tracking modeling of datasets. The method includes the steps of executing an exploration operation to generate a result and storing an entry in a database that correlates an exploration operation configuration for the exploration operation with at least one performance metric.
Futurewei Technologies, Inc.

Unsupervised machine learning to manage aquatic resources

Various implementations provide an aquatic conditions optimization management system accesses aquatic sensor data generated by one or more aquatic sensors, identifies a collection of aquatic data that includes data generated by and collected from the aquatic sensor(s), generates a set of cross-correlation matrices based on the collection of aquatic data, executes a set of unsupervised machine learning algorithms using the set of cross-correlation matrices, and determines one or more optimum conditions for one or more aquatic resources based on the executed set of unsupervised machine learning algorithms. The optimum condition(s) may be communicated to one or more individuals and may include one or more corrective actions to improve one or more of the aquatic resources..
Intel Corporation

Systems and methods for presenting content based on unstructured visual data

Systems, methods, and non-transitory computer-readable media can receive a plurality of content items. Tag information is generated for each content item of the plurality of content items.
Facebook, Inc.

Systems and methods for image description generation

Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques.
Facebook, Inc.

Apparatus and processing image

An image processing apparatus and an image processing method for estimating a region of interest based on information of interest learned by a data recognition model satisfying a certain condition from among a plurality of data recognition models and for setting a focus are provided. The image processing apparatus includes estimating a region of interest by using a rule-based algorithm or an artificial intelligence (ai) algorithm.
Samsung Electronics Co., Ltd.

Generating variations of a known shred

Introduced here is a machine learning related technique for supplying an observed model additional training data based upon previously received training data. To determine textual content of a character string based on a digital image that includes a handwritten version of the character string a substantial amount of training data is used.
Captricity, Inc.

Recognizing combinations of body shape, pose, and clothing in three-dimensional input images

Certain embodiments involve recognizing combinations of body shape, pose, and clothing in three-dimensional input images. For example, synthetic training images are generated based on user inputs.
Adobe Systems Incorporated

Method for assigning particular classes of interest within measurement data

A method and system for surveying and/or metrology for assigning particular classes of interest within measurement data, wherein an assignment of at least one measurement object to a first class of interest within the measurement data based on a classification model, is processed by a feedback procedure providing feedback data for a training procedure which provides update information for the classification model, wherein the training procedure is based on a machine learning algorithm, e.g. Relying on deep learning for supervised learning and/or unsupervised learning..
Hexagon Technology Center Gmbh

Virtual healthcare personal assistant

A virtual healthcare personal assistant is provided to assists a patient in healthcare decision making. Healthcare data is received for the patient from multiple interfaces including an electronic health record, insurance systems, pharmacy systems, remote monitoring systems, clinician scheduling systems, patient social media systems, and a patient mobile device.
Cerner Innovation, Inc.

Systems and methods for data mining of historic electronic communication exchanges to identify relationships, patterns, and correlations to deal outcomes

In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics.
Aon Global Operations Ltd (singapore Branch)

Learning model construction device and overheat prediction device

A learning model construction device used in a machine tool which performs cutting processing constructs a learning model for learning temperature-related information after processing of a spindle motor during cutting processing. A learning model construction device includes an input unit that inputs cutting processing conditions and a present temperature of a spindle motor.
Fanuc Corporation

Numerical controller and machine learning device

A numerical controller calculates a machining path based on a lathe turning cycle instruction and the settings of a machining path and machining conditions of the lathe turning cycle instruction. An evaluation value used to evaluate cycle time required for machining a workpiece performed according to the calculated machining path and the machining quality of the machined workpiece is calculated to perform machine learning of adjustment of the machining path and the machining conditions.
Fanuc Corporation

Machine learning device for learning assembly operation and component assembly system

A machine learning device includes a state observation unit for observing state variables that include at least one of the state of an assembly constituted of first and second components, an assembly time and information on a force, the result of a continuity test on the assembly, and at least one of position and posture command values for at least one of the first and second components and direction, speed and force command values for an assembly operation; and a learning unit for learning, in a related manner, at least one of the state of the assembly, the assembly time and the information on the force, the result of the continuity test on the assembly, and at least one of the position and posture command values for at least one of the first and second components and the direction, speed and force command values for the assembly operation.. .
Fanuc Corporation

Machine learning approach to beamforming

An embodiment according to the present invention includes a method for a machine-learning based approach to the formation of ultrasound and photoacoustic images. The machine-learning approach is used to reduce or remove artifacts to create a new type of high-contrast, high-resolution, artifact-free image.
The Johns Hopkins University

Method for prediction of soil and/or plant condition

A method and system for predicting soil and/or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest. The assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and/or to an agricultural device based on acquired measurement data, particularly remote sensing data, and wherein a classification model is trained by a machine learning algorithm, e.g.
Hexagon Technology Center Gmbh

Visual representation of signal strength using machine learning models

Information about a signal device is received at a first location in a first physical environment. The signal device broadcasts a signal to a computing device.
International Business Machines Corporation

Visual representation of signal strength using machine learning models

Information about a signal device is received at a first location in a first physical environment. The signal device broadcasts a signal to a computing device.
International Business Machines Corporation

Machine learning-derived entropy path graph from in-situ oam (ioam) data

In one embodiment, a device in a network receives in-situ operations administration and management (ioam) data regarding a plurality of traffic flows in the network. The ioam data comprises entropy values for the plurality of traffic flows.
Cisco Technology, Inc.

Method of forecasting for solar-based power systems

The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach.
Qatar Foundation For Education, Science And Community Development

Cognitive adaptations for well-being management

Disclosed aspects relate to cognitive adaptations for well-being management in a living environment. A set of sensor-derived data for the living environment may be ingested.
International Business Machines Corporation

Machine learning apparatus, life prediction apparatus, numerical control device, production system, and machine learning predicting life of nand flash memory

A machine learning apparatus which learns the predicted life of a nand flash memory provided in a numerical control device includes a state observation unit which observes state variables obtained based on at least one of the rewrite count, the rewrite interval, the read count, the temperature in the use environment, the error rate, information concerning the manufacturer, and information concerning the manufacturing lot for the nand flash memory, and information concerning the ecc (error correction coding) performance, information concerning the manufacturer, and information concerning the manufacturing lot for a memory controller which performs ecc processing for the nand flash memory, and a learning unit which learns the predicted life of the nand flash memory based on teacher data, and training data generated from the output of the state observation unit and data associated with the life of the nand flash memory.. .
Fanuc Corporation

Method and system using machine learning to determine an automotive driver's emotional state

Information generated by human behavior detection sensors (i.e., cameras, microphones, pressure sensors, wearables), and vehicle operational parameter information train a machine learning model to determine a driver's emotional state based on vehicle operational parameter information. The training information may be transmitted by a wireless device for each of a fleet of vehicles and their human driver during a training period.
Wheego Electric Cars, Inc.

Characterisation of dynamical physical systems

A dynamical physical system of particles represented by input data representing the phase space state of the particles over time is characterised by deriving a feature vector in respect of each particle comprising plural metrics that each describe a change in the phase space state of the particle over time. A classification of particles into plural classes is performed by applying a machine learning technique that operates on the feature vectors of the particles, and outputting classification data representing the classification..
Oxford University Innovation Limited

System and improving problematic information technology device prediction using outliers

A computer-implemented method of increasing reliability of an information technology environment comprising a plurality of hardware devices. Training data is received and a random forest is built from the training data using machine learning.
International Business Machines Corporation

Machine learning and validation of account names, addresses, and/or identifiers

Systems and methods are disclosed for determining if an account identifier is computer-generated. One method includes receiving the account identifier, dividing the account identifier into a plurality of fragments, and determining one or more features of at least one of the fragments.
Oath Inc.

Devices and methods to detect compliance with regulations

A system and method of confirming compliance with rules. A machine learning model is trained in multiple levels with data concerning basic interpretation of sensors and with discovery of interesting patterns related to the area of application of the rules.

Data compression for machine learning tasks

A machine learning (ml) task system trains a neural network model that learns a compressed representation of acquired data and performs a ml task using the compressed representation. The neural network model is trained to generate a compressed representation that balances the objectives of achieving a target codelength and achieving a high accuracy of the output of the performed ml task.
Waveone Inc.

Generating templated documents using machine learning techniques

Systems and methods of predicting documentation associated with an encounter between attendees are provided. For instance, attendee data indicative of one or more previous visit notes associated with a first attendee can be obtained.
Google Inc.

Universal machine learning building block

A universal machine learning building block, comprising in some embodiments a differential pair of output electrodes, wherein each electrode comprises a plurality of input lines coupled to it via collections of meta-stable switches. In other embodiments, a methodology can be implemented in the context of hardware and/or software for deriving linear neurons implementing an ahah plasticity rule and generating an ahah node(s) that can include one or more such linear neurons, wherein the ahah node(s) functions according to an ahah rule.
Knowmtech, Llc

Group classification based on machine learning analysis of mass spectrometry data from sweat

Machine learning analysis of mass spectrometry spectra from human sweat samples is used to determine characteristics of interest such as age, ethnicity, gender drug use and disease state directly from the m/z data. This avoids the difficult problem of performing a full chemical analysis of human sweat samples to determine the characteristics of interest..
The Board Of Trustees Of The Leland Stanford Junior University

Generating a compact video feature representation in a digital medium environment

Techniques and systems are described to generate a compact video feature representation for sequences of frames in a video. In one example, values of features are extracted from each frame of a plurality of frames of a video using machine learning, e.g., through use of a convolutional neural network.
Adobe Systems Incorporated

Cognitive adaptations for well-being management

Disclosed aspects relate to cognitive adaptations for well-being management in a living environment. A set of sensor-derived data for the living environment may be ingested.
International Business Machines Corporation

Establishing a machine learning model for cancer anticipation and a detecting cancer by using multiple tumor markers in the machine learning model for cancer anticipation

A method of establishing a machine learning model for cancer anticipation includes collecting test results of a plurality of tumor markers of a plurality of eligible individuals and corresponding conditions of cancer; performing a variable selection process on the collected data to select a plurality of robust variables; and using the selected variables, numerals, and conditions of cancer by cooperating with a machine learning method to establish a cancer anticipation model. A method of detecting cancer by using a plurality of tumor markers in a machine learning model for cancer anticipation is also provided..

Concept indexing among database of documents using machine learning techniques

Systems and techniques for indexing and/or querying a database are described herein. Discrete sections and/or segments from documents may be determined by a concept indexing system.
Palantir Technologies Inc.

Self healing compute array

This disclosure pertains to hardware compute arrays (sometimes called systolic arrays) for applications such as artificial intelligence (ai), machine learning (ml), digital signal processing (dsp), graphics processing units (gpus), and other computationally intensive applications. More particularly, it pertains to novel and advantageous architecture innovations for efficiently and inexpensively implementing such arrays using multiple integrated circuits.
Invensas Corporation

Forecasting worker aptitude using a machine learning collective matrix factorization framework

A computer-implemented method may include identifying multiple workers, multiple tools, and multiple taxonomy parameters. The method may also include identifying a partially-full first matrix of values representing relationships between the taxonomy parameters and the tools, a partially-full second matrix of values representing relationships between the workers and the tools, and a partially-full third matrix of values representing relationships between the workers and the taxonomy parameters.
Fujitsu Limited

Speech recognition method and apparatus

A speech recognition method and apparatus for performing speech recognition in response to an activation word determined based on a situation are provided. The speech recognition method and apparatus include an artificial intelligence (ai) system and its application, which simulates functions such as recognition and judgment of a human brain using a machine learning algorithm such as deep learning..
Samsung Electronics Co., Ltd.

Movable object and controlling the same

Embodiments of the present disclosure relate to a movable object and a method for controlling the same. A method for controlling a movable object may include acquiring virtual data representing distances between each of a plurality of positions within an area and surfaces in the area, in a plurality of directions, respectively, based on a map of the area.
Samsung Electronics Co., Ltd.

Machine learning device for learning procedure for aligning optical part of light source unit, and light-source unit manufacturing apparatus

A machine learning device acquires decision data including an adjustment time of a position and an orientation of an optical part and a state of light measured by a light measurement device. The machine learning device includes a learning unit that learns a procedure for adjusting the position and the orientation of the optical part.
Fanuc Corporation

Systems and methods for predicting cardiotoxicity of molecular parameters of a compound based on machine learning algorithms

Systems and methods are provided for predicting cardiotoxicity of molecular parameters of a compound. A computer can provide as input to a machine learning algorithm the molecular parameters of the compound.
Uti Limited Partnership

Electronic apparatus and operating the same

An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data.
Samsung Electronics Co., Ltd.

Machine learning device, robot system, and machine learning learning operations of robot and laser scanner

A machine learning device for learning operations of a robot and a laser scanner, includes a state observation unit observing a state of a tip end of the robot where the laser scanner is mounted and a state of an optical component in the laser scanner as a state data; a determination data obtaining unit receiving at least one of a machining time of the robot where the laser scanner is mounted, a drive current driving the robot, a command path of the laser scanner, a passing time in a processable area where the laser scanner performs processing, and a distance between the robot and a part where the laser scanner performs processing as a determination data; and a learning unit learning operations of the robot and the laser scanner based on an output of the state observation unit and an output of the determination data obtaining unit.. .
Fanuc Corporation

Selection support apparatus, selection support system, and selection support method

A selection support apparatus includes an obtaining unit obtaining a measurement result of a golf swing movement of a golfer, and a selection unit selecting, from a plurality of types of club characteristics of a golf club, a club characteristic suitable for the golfer based on the measurement result. The selection unit selects a club characteristic suitable for the golfer based on machine learning results of teacher data indicating a club characteristic suitable for a golf swing movement of each tester of a plurality of testers..
Bridgestone Sports Co., Ltd.

Automated learning universal gateway

A gateway includes a communication interface and a processor. The processor is configured to receive, via the communication interface, a graphical representation of a device to be connected to the gateway, the graphical representation being in an electronic format.
Fujitsu Limited

System and simplifying mandatory access control policies

This invention relates to a system and method for simplifying mandatory access control policies. A central dashboard provides a single location for managing policies across multiple environments.
Wanclouds Inc.

Malware analysis and recovery

A system and method detects malware by processing notifications from an intrusion detection system and baseline snapshots from an image capture utility. The image capture utility constructs an image of the suspected malware intrusion and links the suspected malware intrusion to the baseline snapshots.
Ut Battelle, Llc

Machine learning based demand charge

A computer-implemented method, system, and computer program product are provided for demand charge management. The method includes receiving an active power demand for a facility, a current load demand charge threshold (dct) profile for the facility, and a plurality of previously observed load dct profiles.
Nec Laboratories America, Inc.

Automated object and activity tracking in a live video feed

An apparatus is provided for automated object and activity tracking in a live video feed. The apparatus receives and processes a live video feed to identify a plurality of objects and activities therein.
The Boeing Company

Automatic generation of fundus drawings

Techniques for automating the generation and analysis of fundus drawings are described. Captured images undergo image processing to extract information about image features.
Microsoft Technology Licensing, Llc

Distributed and automated transaction systems

Methods and apparatus are described that use machine vision and machine learning to eliminate many of the steps of a typical retail transaction. For example, implementations are contemplated in which a user simply removes an item from a retail location to effect the transaction..
Bodega Ai, Inc.

Determining usage data of mobile applications for a population

A utility application for a mobile device inspects data packets from other mobile applications running on the device to gather and record usage data about those applications. Since users of the utility application may not reflect the true population for which the usage data is desired, a system de-biases the data reported from the utility applications using a machine learning model to predict demographics of the users of the utility application.
App Annie Inc.

Domain classification

In one example in accordance with the present disclosure, a method for domain classification includes sorting a set of sample domains into leaves based on syntactical features of the domains. Each sample domain belongs to a family of domains.
Trend Micro Incorporated

Machine learning-based patent quality metric

A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers.

Systems and methods for automating data science machine learning analytical workflows

Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.. .
U2 Science Labs A Montana

Hybrid reward architecture for reinforcement learning

Aspects provided herein are relevant to machine learning techniques, including decomposing single-agent reinforcement learning problems into simpler problems addressed by multiple agents. Actions proposed by the multiple agents are then aggregated using an aggregator, which selects an action to take with respect to an environment.
Microsoft Technology Licensing, Llc

Scalability of reinforcement learning by separation of concerns

Aspects provided herein are relevant to machine learning techniques, including decomposing single-agent reinforcement learning problems into simpler problems addressed by multiple agents. Actions proposed by the multiple agents are then aggregated using an aggregator, which selects an action to take with respect to an environment.
Microsoft Technology Licensing, Llc

Tomography and generative data modeling via quantum boltzmann training

Quantum neural nets, which utilize quantum effects to model complex data sets, represent a major focus of quantum machine learning and quantum computing in general. In this application, example methods of training a quantum boltzmann machine are described.
Microsoft Technology Licensing, Llc

Machine learning model evaluation in cyber defense

Testing machine learning sensors by adding obfuscated training data to test data, and performing real time model fit analysis on live network traffic to determine whether to retrain.. .
Resurgo, Llc

Modeling characters that interact with users as part of a character-as-a-service implementation

In one embodiment, a character engine models a character that interacts with users. The character engine receives user input data from a user device, and analyzes the user input data to determine a user intent and an assessment domain.
Disney Enterprises, Inc.

Systems and methods for determining sentiments in conversations in a chat application

Systems, methods, and non-transitory computer readable media can obtain a conversation of a user in a chat application associated with a system, where the conversation includes one or more utterances by the user. An analysis of the one or more utterances by the user can be performed.
Facebook, Inc.

Electronic apparatus, providing guide and non-transitory computer readable recording medium

The present disclosure relates to an artificial intelligence (ai) system that utilizes a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, an electronic apparatus, a guide providing method thereof, and a non-transitory computer-readable recording medium are provided.
Samsung Electronics Co., Ltd.

Parking-lot-navigation system and method

A system and method for assisted or autonomous parking of a vehicle is disclosed. The method may begin when the vehicle approaches a feeder lane within a parking lot.
Ford Global Technologies, Llc

Auto defect screening using adaptive machine learning in semiconductor device manufacturing flow

A system for auto defect screening using adaptive machine learning includes an adaptive model controller, a defect/nuisance library and a module for executing data modeling analytics. The adaptive model controller has a feed-forward path for receiving a plurality of defect candidates in wafer inspection, and a feedback path for receiving defects of interest already screened by one or more existing defect screening models after wafer inspection.
Dmo Systems Limited

Numerical controller and machine learning device

To provide a numerical controller and a machine learning device that predict an abnormality, based on machine learning with perception of temporal change in data. The numerical controller includes the machine learning device provided with a learning unit that conducts machine learning of trends in operation of a machine on occasions of occurrence of abnormalities in the machine, based on time-series data acquired by a data logger device and relating to the operation of the machine and abnormality information relating to the abnormalities which have occurred in the machine and a prediction unit that predicts an abnormality which will occur in the machine, based on results of the machine learning in the learning unit and time-series data acquired by the data logger device and relating to current operation of the machine..
Fanuc Corporation

Controller, control program, and control method

A controller includes a feature quantity generation unit that generates, from data associated with a control target, a feature quantity appropriate for detecting an abnormality in the control target, a machine learning unit that performs machine learning using the feature quantity, an abnormality detection unit that detects the abnormality based on an abnormality detection parameter determined from a learning result of the machine learning, and the feature quantity, an instruction unit that instructs the abnormality detection unit to detect the abnormality, and a data compression unit that compresses data about the feature quantity and provides the compressed data to the machine learning unit and the abnormality detection unit. The instruction unit transmits a request for detecting the abnormality to the abnormality detection unit.
Omron Corporation

Control system, control program, and control method

A control system includes a controller for controlling a control target and redundant devices accessible from the controller. The control system includes a feature quantity generation unit that generates a feature quantity from data associated with the redundant devices, an abnormality detection unit that determines whether an abnormality has occurred in one of the redundant devices based on the feature quantity generated by the feature quantity generation unit and a predetermined abnormality detection parameter, a switch unit that switches the redundant devices between a working mode and a standby mode when the abnormality detection unit determines that an abnormality has occurred, and a learning unit that performs machine learning using the data associated with the redundant devices to determine the abnormality detection parameter..
Omron Corporation

Machine learning device, cnc device and machine learning detecting indication of occurrence of chatter in tool for machine tool

A machine learning device for detecting an indication of an occurrence of chatter in a tool for a machine tool, includes a state observation unit which observes at least one state variable of a vibration of the machine tool itself, a vibration of a building in which the machine tool is installed, an audible sound, an acoustic emission and a motor control current value of the machine tool, in addition to a vibration of the tool; and a learning unit which generates a learning model based on the state variable observed by the state observation unit.. .
Fanuc Corporation

Control system and machine learning device

Provided are a controller and a machine learning device that perform machine learning to optimize the servo gain of a machine inside a facility in accordance with action conditions, action environments, and a priority factor of the machine. Disclosed is a control system including: a state observation section that observes machine information on a machine as state data; a determination data acquisition section that acquires information on machining by a machine as determination data; a reward calculation section that calculates a reward based on the determination data and reward conditions; a learning section that performs the machine learning of the adjustment of the servo gain of the machine; a decision making section that determines an action of adjustment of the servo gain of the machine, based on the state data and a machine learning result of the adjustment of the servo gain of the machine; and a gain changing section that changes the servo gain of the machine, based on the action of adjustment of the determined servo gain..
Fanuc Corporation

Systems and methods of analyte measurement analysis

Disclosed are systems for non-invasively determining a measurement of an analyte. The systems include an electrocardiogram sensor and a processing device operatively coupled to the electrocardiogram sensor.
Alivecor, Inc.

A device and non-invasive left ventricular end diastolic pressure (lvedp) measurement

The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (lvedp) or pulmonary capillary wedge pressure (pcwp) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said lvedp or pcwp using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.. .
Boston Scientific Scimed Inc.

Using electronic game as means of data acquisition

Special electronic cyber security simulator game with programmable real-life situations will allow collection of sufficient quantity of controlled attacker behavior data as well as complete labeling of that data at any degree of granularity which can greatly facilitate machine learning and artificial intelligence development in the field of cyber security.. .

Machine learning based malware detection system

There are provided measures for machine learning based malware detection systems. Such measures exemplarily include analyzing a set of training data, said set of training data comprising a plurality of training data elements, wherein each of said plurality of training data elements is associated with a respective one of at least two maliciousness related properties, learning a malicious object detection model on the basis of first feature combinations of said plurality of training data elements, said first feature combinations characterizing each of said at least two maliciousness related properties, learning an anomalous data detection model on the basis of second feature combinations of said plurality of training data elements, said second feature combinations characterizing said set of training data, said anomalous data detection model being associated with said malicious object detection model, and providing said malicious object detection model and said anomalous data detection model..
F-secure Corporation

Interpretable deep learning framework for mining and predictive modeling of health care data

A method for creating an interpretable model for healthcare predictions includes training, by a deep learning processor, a neural network to predict health information by providing training data, including multiple combinations of measured or observed health metrics and corresponding medical results, to the neural network. The method also includes determining, by the deep learning processor and using the neural network, prediction data including predicted results for the measured or observed health metrics for each of the multiple combinations of the measured or observed health metrics based on the training data.
University Of Southern California

Automatically determining orientation and position of medically invasive devices via image processing

A method of determining the position and orientation of an invasive medical device is described using altered devices and a machine learning algorithm for detecting the position and orientation of such devices from imagery. Such predictions can subsequently be displayed to an operator to improve the speed and accuracy by which they perform procedures..

Object tracking by an unmanned aerial vehicle using visual sensors

Systems and methods are disclosed for tracking objects in a physical environment using visual sensors onboard an autonomous unmanned aerial vehicle (uav). In certain embodiments, images of the physical environment captured by the onboard visual sensors are processed to extract semantic information about detected objects.
Skydio, Inc.

Characterisation of dynamical statistical systems

Machine learning is performed on input data representing a dynamical statistical system of entities having plural primary variables that vary time. A distribution function over time of the density of entities in a phase space, whose dimensions are the primary variables and secondary variables dependent on the rate of change of the primary variables, is derived and encoded as a sum of contour functions over time describing the contour in phase space of plural phaseons which are entities of a model of the dynamical statistical system that are localised in the phase space.
Noble Artificial Intelligence, Inc.

Dynamic form with machine learning

Methods, computer-readable media and systems are disclosed for building, deploying, operating, and maintaining an intelligent dynamic form in which a trained machine learning (ml) model is embedded. A universe of questions is associated with a plurality of output classifiers, which could represent eligibilities for respective benefits.
Sap Se

Predicting user state using machine learning

A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services.
Uber Technologies, Inc.

Predicting performance of database queries

A mechanism is provided for determining a predicted performance of a database com. A first model for a database is determined using machine learning and training data based on monitoring the database operating in a production environment.
International Business Machines Corporation

Training inductive logic programming enhanced deep belief network models for discrete optimization

System and method for training inductive logic programming enhanced deep belief network models for discrete optimization are disclosed. The system initializes (i) a dataset comprising values and (ii) a pre-defined threshold, partitions the values into a first set and a second set based on the pre-defined threshold.
Tata Consultancy Services Limited

Probabilistic matrix factorization for automated machine learning

In embodiments of probabilistic matrix factorization for automated machine learning, a computing system memory maintains different workflows that each include preprocessing steps for a machine learning model, the machine learning model, and one or more parameters for the machine learning model. The computing system memory additionally maintains different data sets, upon which the different workflows can be trained and tested.
Microsoft Technology Licensing, Llc

Systems and methods for integrated cargo inspection

A system for integrated cargo inspection includes a non-invasive imaging system scanning a cargo container during an offload operation to obtain a digital image of its contents, a server including a control processor to control components of the system. The components including a computer vision system to perform vision system recognition techniques on the digital image and prepare a report having image icons representing the contents, a machine learning system analytically reviewing the report to generate heuristic analysis used to train the vision system, a computing device displaying at least one of a port plan, a scan view, a results list form dialog, and a results history log graphical displays.
Sap Se

Method and system for increasing biometric acceptance rates and reducing false accept rates and false rates

The next part of our invention is to extract a sample of the video images since the video captures the motion of moving right-left or up-down, every third fourth or some other number of frames can bet taken as a sample, instead of searching every frame. Cameras normally capture 30-60 frames a second.

Detection of vulnerable code

A machine learning model is applied to at least determine whether a computer program includes vulnerable code. The machine learning model is trained to determine whether the computer program includes vulnerable code based at least on a presence and/or absence of a first trait.
Cylance Inc.

Isolating data for analysis to avoid malicious attacks

Determining, by a machine learning model in an isolated operating environment, whether a file is safe for processing by a primary operating environment. The file is provided, when the determining indicates the file is safe for processing, to the primary operating environment for processing by the primary operating environment.
Cylance Inc.

Predicting a search engine ranking signal value

Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for augmenting search engine index that indexes resources from a collection of resources. In one aspect, a method of augmenting a first search engine index that indexes resources from a first collection of resources includes the actions of identifying a first resource, in the first collection of resources, that is indexed in the first search engine index for which a value of a search engine ranking signal is not available, wherein a search engine uses values of the search engine ranking signal in ranking resources in response to received search queries; processing text from the first resource using a machine learning model, the machine learning model being configured to: process the text to predict a value of the search engine ranking signal for the first resource; and updating the first search engine index by associating the predicted value of the search engine ranking signal with the first resource in the first search engine index..
Google Inc.

Building a data query engine that leverages expert data preparation operations

A method, system and computer program product for building a data query engine. Initial taxonomies that describe and categorize data are built by expert users (e.g., data scientists) employing machine learning algorithms.
International Business Machines Corporation

System and associating user-entered text to database entries

System and method for associating user-entered consumable item description to an entry in a consumable item database. In one embodiment, formally structured restaurant menu item is matched to a large database of food items that has been constructed via crowd-sourcing.
Under Armour, Inc.

Dynamic word embeddings

Systems, methods, and articles of manufacture to perform an operation comprising deriving, based on a corpus of electronic text, a machine learning data model that associates words with corresponding usage contexts over a window of time, according to a diffusion process, wherein the machine learning data model comprises a plurality of skip-gram models, wherein each skip-gram model comprises a word embedding vector and a context embedding vector for a respective time step associated with the respective skip-gram model, generating a smoothed model by applying a variational inference operation over the machine learning data model, and identifying, based on the smoothed model and the corpus of electronic text, a change in a semantic use of a word over at least a portion of the window of time.. .
Disney Enterprises, Inc.

Joint language understanding and dialogue management

A processing unit can operate an end-to-end recurrent neural network (rnn) with limited contextual dialogue memory that can be jointly trained by supervised signals—user slot tagging, intent prediction and/or system action prediction. The end-to-end rnn, or joint model has shown advantages over separate models for natural language understanding (nlu) and dialogue management and can capture expressive feature representations beyond conventional aggregation of slot tags and intents, to mitigate effects of noisy output from nlu.
Microsoft Technology Licensing, Llc

Methods and systems for language-agnostic machine learning in natural language processing using feature extraction

Methods, apparatuses, and systems are presented for generating natural language models using a novel system architecture for feature extraction. A method for extracting features for natural language processing comprises: accessing one or more tokens generated from a document to be processed; receiving one or more feature types defined by user; receiving selection of one or more feature types from a plurality of system-defined and user-defined feature types, wherein each feature type comprises one or more rules for generating features; receiving one or more parameters for the selected feature types, wherein the one or more rules for generating features are defined at least in part by the parameters; generating features associated with the document to be processed based on the selected feature types and the received parameters; and outputting the generated features in a format common among all feature types..
Idibon, Inc.

Method and system for application virtualization that includes machine learning

A method for executing a virtualized application on a computing system that includes a user-space and a kernel-space is disclosed. In an embodiment, the method involves executing an application in the user-space, executing a user-level virtualization layer in the user-space, the user-level virtualization layer including a set of rules, performing, via the user-level virtualization layer, user-level hooking of events that are generated by the executing application according to the set of rules to identify events of interest, storing events that are identified as events of interest in a database, applying a pattern recognition process to the events that are stored in the database, generating a rule for the set of rules in the user-level virtualization layer based on the pattern recognition process, and applying the generated rule through the user-level virtualization layer..
Data Accelerator Ltd

System and detection, exploration, and interaction of graphic application interface

A gui (graphic user interface) application recognition and interaction system enables application-agnostic and device-agnostic recognition and interaction through use of image and text pattern recognition. The gui device includes a gui client application that provides wide range of functionalities.

Machine tool and machine learning device

A machine tool acquires information related to manual operation from log data recorded when machining and the manual operation are performed in the machine tool, creates input data on the basis of the acquired information, acquires information related to occurrence or non-occurrence of a collision of a spindle or a tool at the time of the manual operation from the log data, and creates teacher data on the basis of the acquired information. Supervised learning is performed using the created input data and the created teacher data, and a learning model is constructed..
Fanuc Corporation

Design layout pattern proximity correction through fast edge placement error prediction

Disclosed are methods of generating a proximity-corrected design layout for photoresist to be used in an etch operation. The methods may include identifying a feature in an initial design layout, and estimating one or more quantities characteristic of an in-feature plasma flux (ifpf) within the feature during the etch operation.
Lam Research Corporation

Devices and methods to facilitate escape from a venue with a sudden hazard

A device and associated methods for escaping from a venue when a threat is detected is described. Venues can be buildings or outside areas and contain the area where the threat constitutes a hazard to a protected person.

Detecting and using body tissue electrical signals

Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials.
Pison Technology, Inc.

Leveraging synthetic traffic data samples for flow classifier training

In one embodiment, a device in a network receives traffic data regarding a plurality of observed traffic flows. The device maps one or more characteristics of the observed traffic flows from the traffic data to traffic characteristics associated with a targeted deployment environment.
Cisco Technology, Inc.

Estimating feature confidence for online anomaly detection

In one embodiment, a device in a network obtains characteristic data regarding one or more traffic flows in the network. The device incrementally estimates an amount of noise associated with a machine learning feature using bootstrapping.
Cisco Technology, Inc.

Detection of botnets using command-and-control access patterns

A method and device for detecting botnets in a cloud-computing infrastructure are provided. The method includes gathering data feeds over a predefined detection time window to produce a detection dataset, wherein the detection dataset includes at least security events and a first set of bot-labels related to the activity of each of at least one virtual machine in the cloud-computing infrastructure during the detection time window; generating, using the detection dataset, a features vector for each of a plurality of virtual machines in the cloud-computing infrastructure, wherein the features vector is based on idiosyncratic (isync) scores related to botnet activity; transmitting each generated features vector to a supervised machine learning decision model to generate a label indicating if each of the plurality of virtual machines is a bot based on the respective features vector; and determining each virtual machine labeled as a bot as being part of a botnet..
Microsoft Technology Licensing, Llc.

High-speed similar case search through reduction of large scale multi-dimensional time series health data to multiple dimensions

Provided are a search method and device for searching for a case similar to user's health data at high-speed from large scale multi-dimensional time series health data. The method includes preprocessing health data inputted through an interface circuit, performing a multi-dimensional feature extraction learning based on machine learning on the preprocessed health data, and generating one or more feature extraction models for dimension reduction based on the multi-dimensional feature extraction learning..
Electronics And Telecommunications Research Institute

Trust circle through machine learning

Various embodiments of systems and methods for trust circle through machine learning are described herein. The method includes identifying a website subscribed with the trust circle for aggregating data based upon a query.
Sap Se

Method and system for predicting task completion of a time period based on task completion rates and data trend of prior time periods in view of attributes of tasks using machine learning models

A request is received for determining a task completion rate of each of a first set of tasks associated with a set of task attributes. The first set of tasks are scheduled to be completed within a first timer period.
Clari Inc.

Scalable-effort classifiers for energy-efficient machine learning

Scalable-effort machine learning may automatically and dynamically adjust the amount of computational effort applied to input data based on the complexity of the input data. This is in contrast to fixed-effort machine learning, which uses a one-size-fits-all approach to applying a single classifier algorithm to both simple data and complex data.
Microsoft Technology Licensing, Llc

Automated generation of natural language task/expectation descriptions

Embodiments of the present invention are directed to computer-implemented methods and systems for automatically generating a description of a task or expectation. The method comprises receiving, in the form of an electronic communication, a natural language sentence that expresses a call or commitment to action; generating, using a machine learning model, a description of a task or expectation for a user based on the natural language sentence; and storing the description of the task or expectation in a non-transitory computer-readable memory..
Gluru Limited

Method and providing automated generation of parking restriction data using machine learning

An approach is provided for generating parking restriction data using a machine learning model. The approach involves determining a plurality of classification features associated with a set of labeled road links.
Here Global B.v.

Method and predictive classification of actionable network alerts

An approach is provided for providing predictive classification of actionable network alerts. The approach includes receiving the plurality of alerts.
Here Global B.v.

Source code bug prediction

A probabilistic machine learning model is generated to identify potential bugs in a source code file. Source code files with and without bugs are analyzed to find features indicative of a pattern of the context of a software bug, wherein the context is based on a syntactic structure of the source code.
Microsoft Technology Licensing, Llc.

Method and system to count movements of persons from vibrations in a floor

A system and method for counting persons using passages entering or exiting an area by analyzing vibrations in the floor with sensors and a machine learning system. The machine learning system uses a model, usually implemented as a neural network on a processor.

Machine learning training with noisy labels

Machine learning classification models which are robust against label noise are provided. Noise may be modelled explicitly by modelling “label flips”, where incorrect binary labels are “flipped” relative to their ground truth value.
D-wave Systems Inc.

Clustering analysis for deduplication of training set samples for machine learning based computer threat analysis

A method, a system, and a computer program product for performing analysis of data to detect presence of malicious code are disclosed. Reduced dimensionality vectors are generated from a plurality of original dimensionality vectors representing features in a plurality of samples.
Cylance Inc.

Object classification in image data using machine learning models

Combined color and depth data for a field of view is received. Thereafter, using at least one bounding polygon algorithm, at least one proposed bounding polygon is defined for the field of view.
Sap Se

Advanced cloud detection using machine learning and optimization techniques

Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a cloud dictionary and a ground dictionary, determining whether a given pixel is best represented by “words” from the cloud dictionary or “words” from the ground dictionary to make an initial determination of cloud or ground, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery..
Digitalglobe, Inc.

Apparatus and using a support vector machine and flow-based features to detect peer-to-peer botnet traffic

A method using behavior-based detection to detect and observe known malicious traffic on a virtual machine; parsing up the observed malicious traffic by flow features; using a machine learning algorithm to train a classifier that separates the features into a normal class and an abnormal class, wherein the abnormal class is malware; weighing the importance of the features, wherein importance is based on each feature's contribution to overall system performance; creating models using the classified normal and abnormal features; using these models to classify future observed traffic.. .
The United States Of America As Represented By The Secretary Of The Navy

Synthetic ground truth expansion

A ground truth expansion system that generates an expanded set of synthetic questions and selects a targeted subset of questions for machine learning training. The machine learning may be used to train an automated inquiry system that responds to questions received from individuals about subject matter of interest.
Welltok, Inc.

Intelligent assistant help system

Representative embodiments disclose intelligent help systems that monitor user interactions through email, digital assistants, and other applications and recognize when a user can utilize the help of an expert with a task. The system detects user intent and a category of problem from the interactions (i.e., email communications, etc.) and searches a database of user profiles to find experts with the proper expertise to help the user with the category of problem.
Microsoft Technology Licensing, Llc

Delivering content promoting a web page to users of an online system

An online system maintains a web page associated with one or more page administrators. The online system trains a machine learning model to determine a likelihood of a page administrator account accepting a request for the online system to present content about the web page to other users of the online system.
Facebook, Inc.

Method for analyzing cement integrity in casing strings using machine learning

The present disclosure provides methods and systems for analyzing cement integrity in a depth interval of a wellbore having a multiple string casing with an innermost annulus disposed inside at least one outer annulus. The method includes processing ultrasonic data obtained from ultrasonic measurements on the interval of the wellbore to determine properties of the innermost annulus.
Schlumberger Technology Corporation

Deep machine learning methods and robotic grasping

Deep machine learning methods and apparatus related to manipulation of an object by an end effector of a robot. Some implementations relate to training a semantic grasping model to predict a measure that indicates whether motion data for an end effector of a robot will result in a successful grasp of an object; and to predict an additional measure that indicates whether the object has desired semantic feature(s).
Google Llc

Machine learning device and robot system to learn processing order of laser processing robot and machine learning method thereof

A machine device for learning a processing order of a laser processing robot, includes a state observation unit that observes, as a state variable, one of a plasma light from a laser processing point of the laser processing robot and a processing sound from the laser processing point of the laser processing robot; a determination data obtaining unit that receives, as determination data, a cycle time in which the laser processing robot completes processing; and a learning unit that learns the processing order of the laser processing robot based on an output of the state observation unit and an output of the determination data obtaining unit.. .
Fanuc Corporation

Cardiac condition detection

Systems and methods for determining a cardiac condition of the human based on acceleration measurements received from one or more accelerometers of a garment worn by a human, electrocardiogram measurements received from electrodes of a garment worn by the human, and a machine learning model previously determined based on training data. An alert message that indicates the determined cardiac condition may be transmitted or displayed to the human wearing the garment or another person who will assist the human.
Huami Inc.

Oven with machine learning based algorithm selection strategy

An oven may include a cooking chamber configured to receive a food product, an em heating system configured to provide em energy into the cooking chamber using solid state electronic components, and control electronics configured to control the em heating system. The control electronics are configured to enable user selection of a cooking program associated with cooking the food product.
Illinois Tool Works Inc.

Methods and systems for displaying relevant participants in a video communication

Exemplary embodiments relate to techniques for selecting which users should be shown in an interface during a group call, and for presenting the users on (potentially small) displays. According to some embodiments, a most-relevant speaker is selected for display on each call participants' screen.
Facebook, Inc.

Event information access interface in data intake stage of a distributed data processing system

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics.
Splunk Inc.

System and modifying a knowledge representation based on a machine learning classifier

Systems and methods are provided for modifying a knowledge representation based on a machine-learning classifier. The knowledge representation is synthesized based on an object of interest.
Primal Fusion Inc.

System and using a knowledge representation for features in a machine learning classifier

Systems and methods are provided for classifying at least one unlabeled content item with a machine-learning classifier. A knowledge representation synthesized based on an object of interest is used as a source of features for which training data is evaluated.
Primal Fusion Inc.

System and generating training data for machine learning classifier

Systems and methods are provided for generating training data for a machine-learning classifier. A knowledge representation synthesized based on an object of interest is used to assign labels to content items.
Primal Fusion Inc.

Method and system for executing a containerized stateful application on a stateless computing platform using machine learning

A technique for executing a containerized stateful application that is deployed on a stateless computing platform is disclosed. The technique involves deploying a containerized stateful application on a stateless computing platform and executing the stateful application on the stateless computing platform.
Data Accelerator Limited

Semiconductor cell configured to perform logic operations

The disclosed technology generally relates to machine learning, and more particularly to integration of basic machine learning kernels in a semiconductor device. In an aspect, a semiconductor cell is configured to perform one or more logic operations such as one or both of an xnor and an xor operation.
Katholieke Universiteit Leuven

Object recognition method and apparatus based on weakly supervised learning

Provided are an object recognition method and apparatus which determine an object of interest included in a recognition target image using a trained machine learning model and determine an area in which the object of interest is located in the recognition target image. The object recognition method based on weakly supervised learning, performed by an object recognition apparatus, includes extracting a plurality of feature maps from a training target image given classification results of objects of interest, generating an activation map for each of the objects of interest by accumulating the feature maps, calculating a representative value of each of the objects of interest by aggregating activation values included in a corresponding activation map, determining an error by comparing classification results determined using the representative value of each of the objects of interest with the given classification results and updating a cnn-based object recognition model by back-propagating the error..
Lunit Inc.

Kind of android malicious code detection method on the base of community structure analysis

This invention comes up with a kind of android malicious code detection method on the base of community structure analysis. During the reverse analysis process of target program, firstly, it obtains critical static feature information automatically, such as permission, function, class, system api, etc,; secondly, it uses the call relation between functions to create function call graph, and undertakes pretreatment on function call graph; make cycle division and analysis for the weighted function call graph so as to get the correction division of community structure; finally, it extract features from community structures for machine learning and get the final maliciousness determination result.
Sichuan University

Applying machine learning techniques to discover security impacts of application programming interfaces

A computer-implemented method includes obtaining, by a processor, existing security information for static application security testing (sast). The method also includes using, by the processor, the existing security information to discover, by a machine capable of learning, new security information.
International Business Machines Corporation

Task performance

A computer-implemented method for assisting a user perform a task in a computer system includes deploying a bot to monitor user interactions with the computer system and using machine learning to recognize a pattern in a user's actions in repetitively performing the task in the computer system. The method includes processing the recognized pattern to automatically establish a suggested rule that can be used by the computer system for performing a future instance of the task in lieu of the user performing the future instance of the task..
Sap Se

Template-based structured document classification and extraction

Techniques are described herein for automatically generating data extraction templates for structured documents (e.g., b2c emails, invoices, bills, invitations, etc.), and for assigning classifications to those data extraction templates to streamline data extraction from subsequent structured documents. In various implementations, a data extraction template generated from a cluster of structured documents that share fixed content may be identified.
Google Inc.

System and biometric identification using sleep physiology

The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited..
Lifeq Global Limited

Systems and methods for rate control in video coding using joint machine learning and game theory

Systems and methods which provide a joint machine learning and game theory modeling (mlgt) framework for video coding rate control (rc) are described. A machine learning based r-d model classification scheme may be provided to facilitate improved r-d model prediction accuracy and a mixed r-d model based game theory approach may be implemented to facilitate improved rc performance.
City University Of Hong Kong

Automated server workload management using machine learning

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor.
Capital One Services, Llc

Malware classification and attribution through server fingerprinting using server certificate data

In one embodiment, a device in a network receives certificate data for an encrypted traffic flow associated with a client node in the network. The device determines one or more data features from the certificate data.
Cisco Technology, Inc.

On-box behavior-based traffic classification

In one embodiment, a networking device in a network detects an traffic flow conveyed in the network via the networking device. The networking device generates flow data for the traffic flow.
Cisco Technology, Inc.

System for managing energy, managing energy, and predicting energy demand

Disclosed is a system for managing energy of a community in which at least one building exists. The system includes a community agent for managing community energy demand prediction data including building energy demand prediction data of each building and a community demand reaction load capacity including a building demand reaction load capacity of each building and managing a community demand reaction incentive policy applied to the community; and a machine learning device for generating a building demand reaction incentive policy to be applied to each building through a community-optimized machine learning model..
Korea Institute Of Energy Research

Sensor interface device, measurement information communication system, measurement information communication method, and non-transitory computer readable medium

In a case of sending characteristic data representing a characteristic of measurement data, rather than the measurement data itself from a sensor, characteristic data suited to the connected sensor is sent. A sensor interface device (100) which is connected in a communication path between a measurement means (200) and a higher-order device (300), includes: a data acquisition means (110) for acquiring measurement data, which is data based on a physical quantity measured by the measurement means (200); a storage means (1.20) for storing the measurement data thus acquired; a learning means (130) for performing machine learning with a measurement data group stored by the storage means (120) as an input, thereby performing extraction of characteristic data, which is data representing a characteristic of the measurement data group; and a communication means (140) for sending the characteristic data extracted by the learning means (130) to the higher-order device (300)..
Fanuc Corporation

Object detection method and system based on machine learning

The present disclosure discloses an object detection method based on machine learning. The object detection method senses a motion of an object by a motion sensor to generate a testing image, captures the testing image by an image sensor to transmit a sensed image to an object detection device, and detects a position of the object in the sensed image by the object detection device.
Pixart Imaging Inc.

Identifying resource allocation discrepancies

Embodiments are directed to identifying allocation discrepancies. Data models and benchmark models may be provided to an analysis engine.
Apptio, Inc.

Character string recognition method and machine learning method

A character string recognition method includes: selecting a keyword database, which corresponds to content of a character string, from a number of keyword databases, wherein the selected keyword database comprises at least one prefix keyword, comparing the content of the character string with the at least one prefix keyword, when the content of the character string corresponds to one of the at least one prefix keyword, updating the content of the character string based on a definition of the prefix keyword which corresponds to the content of the character string, and when the content of the character string does not correspond to any of the at least one prefix keyword, selectively ending the character string recognition method, and outputting the content of the character string.. .
Inventec Corporation

Machine learning with partial inversion

An example embodiment may involve a machine learning model representing relationships between a dependent variable and a plurality of n independent variables. The dependent variable may be a function of the n independent variables, where the n independent variables are measurable characteristics of computing devices, and where the dependent variable is a predicted behavior of the computing devices.
Servicenow, Inc.

Method of constructing an artifical intelligence super deep layer learning model, device, mobile terminal, and software program of the same

A method for constructing an artificial intelligence super depth learning model includes inputting by an objective function to input into each node of an input layer by interposing a no-teacher machine learning, connecting the no-teacher machine learning mutually between each node of the input layer and a nerve layer, calculating output reference values based on a learning value obtained by the no-teacher machine learning, a trigger threshold of a cranial nerve, or a sampling learning value, and determining an excitation level according to output reference values of all the nerve layers.. .

Data object creation and recommendation using machine learning based online evolution

The technology disclosed relates to providing expanded data object correlations for user-generated web customizations. Roughly described, it relates to creating an initial plurality of candidate data object image representations by procreation, storing a candidate population having the plurality of candidate data object image representations, scoring each of the candidate data object image representations for conformity with a predefined goal using a trained neural network system and/or a rule-based percept filter, discarding candidate data object image representations from the candidate population, adding new data object image representations to the candidate population by procreation, iterating the scoring, the discarding, and the adding until the discarding yields a candidate pool of candidate data object image representations not yet discarded but which satisfy a convergence condition, and providing as recommendation for display to a user at least one of the data object images represented in the candidate pool..
Sentient Technologies (barbados) Limited

Method for correction of the eyes image using machine learning and machine learning

The present invention refers to automatics and computing technology, namely to the field of processing images and video data, namely to correction the eyes image of interlocutors in course of video chats, video conferences with the purpose of gaze redirection. A method of correction of the image of eyes wherein the method obtains, at least, one frame with a face of a person, whereupon determines positions of eyes of the person in the image and forms two rectangular areas closely circumscribing the eyes, and finally replaces color components of each pixel in the eye areas for color components of a pixel shifted according to prediction of the predictor of machine learning.
Autonomous Non-profit Organization For Higher Education " Skolkovo Institute Of Science And Tech

Feature selection and feature synthesis methods for predictive modeling in a twinned physical system

Systems and methods for predictive modeling of an industrial asset. In some embodiments, a database stores an electronic file containing a machine learning library and predictive modeling tools associated with the industrial asset.
General Electric Company

Methods and systems for a content development and management platform

The present system and method relate to enhancements to online search engines and search result rankings, which can benefit from large scale analysis of online content (e.g., web pages) and vast amounts of information kept and processed from prior searches to develop intelligent associations between various content with one another. Some aspects employ machine learning systems and methods to further enhance the present goals.
Hubspot Inc.

Data object creation and recommendation using machine learning based offline evolution

The technology disclosed relates to neural network-based systems and methods of preparing a data object creation and recommendation database. Roughly described, it relates to, for each of a plurality of preliminary data object images, providing a representation of the image in conjunction with a respective conformity parameter indicating level of conformity of the image with a predefined goal, training a neural network system with the preliminary data object image representations in conjunction with their respective conformity parameters, to evaluate future data object image representations for conformity with the predefined goal, selecting a subset of secondary data object image representations, from a provided plurality of secondary data object image representations, in dependence upon the trained neural network system, and storing the image representations from the selected subset of secondary data object image representations in a tangible machine readable memory for use in a data object creation and recommendation system..
Sentient Technologies (barbados) Limited

Facilitating mapping of control policies to regulatory documents

Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora.
International Business Machines Corporation

Methods and systems for providing universal portability in machine learning

Systems, methods, and apparatuses are presented for a trained language model to be stored in an efficient manner such that the trained language model may be utilized in virtually any computing device to conduct natural language processing. Unlike other natural language processing engines that may be computationally intensive to the point of being capable of running only on high performance machines, the organization of the natural language models according to the present disclosures allows for natural language processing to be performed even on smaller devices, such as mobile devices..
Idibon, Inc.

Machine learning templates in a machine learning framework

According to some embodiments, a system and method are provided to create a template associated with an industrial problem. The method comprises receiving one or more kernels from a machine learning library.
General Electric Company

Machine learning systems and techniques to optimize teleoperation and/or planner decisions

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition.
Zoox, Inc.

Fault signal recovery apparatus and method

A fault signal recovery apparatus and method for collecting signals obtained in a plant and recovering normal signals from fault signals contained in the measured signals through a machine learning method includes receiving an input x including only normal signals for a plurality of tags, an input u including fault signals for a first group of tags among the plurality of tags and normal signals for a second group of tags, and an input s having information on the first group of tags including fault signals, and estimating and recovering normal signals for the first group of tags including fault signals based on feature information f, recovery model information p, and ensemble learning.. .
Doosan Heavy Industries & Construction Co., Ltd

Method and system to annotate objects and determine distances to objects in an image

A controller/application synchronizes a camera's image capture rate with a lidar light burst rate and direction. A user may identify and manually bound an object-of-interest in an image captured with the camera with a user interface.
Wheego Electric Cars, Inc.

System and electrical and magnetic monitoring of a material

A system and method for monitoring a characteristic of a material by measuring electrical or magnetic properties of the material. The system includes a material monitoring device having at least one electrode and at least one magnetic coil, and is in communication with a machine learning model trained to recognize characteristics of the material based on electrical and magnetic properties of the material.
Ideacuria Inc.

. .

Convolution neural network compressing synapse data of convolution neural network

Provided is a convolution neural network system including an image database configured to store first image data, a machine learning device configured to receive the first image data from the image database and generate synapse data of a convolution neural network including a plurality of layers for image identification based on the first image data, a synapse data compressor configured to compress the synapse data based on sparsity of the synapse data, and an image identification device configured to store the compressed synapse data and perform image identification on second image data without decompression of the compressed synapse data.. .
Electronics And Telecommunications Research Institute

Machine learning-based customer care routing

Machine learning-based customer care routing may connect a customer with a support person that has a high level of expertise. A trouble report may be received from a customer of a wireless telecommunication network via on online chat session or a telephone call.
T-mobile, Usa, Inc.

Vehicle operation data collection apparatus, vehicle operation data collection system, and vehicle operation data collection method

A vehicle operation data collection apparatus includes a vehicle operation history db which accumulates vehicle operation data acquired from a vehicle; a data excess and deficiency evaluation unit which evaluates excess or deficiency of vehicle operation data accumulated in the vehicle operation history db for each of abnormality types, on the basis of accuracy information of classification obtained when classifying the abnormality types occurring in the vehicle by machine learning, using vehicle operation data accumulated in the vehicle operation history db; a collection target vehicle extraction unit which extracts a vehicle suitable for acquiring data of an abnormality type evaluated as data deficiency by the data excess and deficiency evaluation unit from a vehicle maintenance history db as a collection target vehicle; and a collection command distribution unit which distributes a collection command instructing collection of operation data to the extracted collection target vehicle.. .
Hitachi, Ltd.

Hybrid machine learning systems

A machine learning system for processing image data obtained from an image sensor is provided. The system includes a front end comprising one or more hard-coded filters, each of the one or more hard-coded filters being arranged to perform a set task.
Apical Limited

Networked system for processing sensor data and external data for an ad server

An advertising management system serves advertisements to user devices. Sensor data of the user devices can be analyzed, along with external data indicative of characteristics of a current environment of the user and/or the user device, such as weather, land use, or land type, to determine an audience containing that user.
Aki Technologies, Inc.

Systems and methods to identify resumes based on staged machine learning models

Systems, methods, and non-transitory computer readable media are configured to generate a relevance score for each resume of a plurality of resumes associated with job candidates based on one or more machine learning models in a first stage associated with a job pipeline of an organization, the relevance score indicative of relevance of the resume in relation to the job pipeline. A subset of resumes are selected from the plurality of resumes, the subset of resumes having highest relevance scores.
Facebook, Inc.

Addrressable smart agent data technology to detect unauthorized transaction activity

A computer implemented and electronic process is provided that uses artificial intelligence to detect unauthorized activity by an insider or hacker. Electronic systems that employ artificial intelligence and machine learning to detect unauthorized transaction activity by insiders or hackers for a computer network system are also provided.
Brighterion, Inc.

Machine learning data analysis system and method

A computer-implemented method, computer program product and computing system for receiving user content for analysis. Key content included within the user content is identified.
Gamalon, Inc.

Machine learning data analysis system and method

A computer-implemented method, computer program product and computing system for defining a first feature group having a first plurality of options. At least one additional feature group having at least one additional plurality of options is defined.
Gamalon, Inc.

Machine learning data analysis system and method

A computer-implemented method, computer program product and computing system for receiving non-structured content concerning a plurality of items. The non-structured content is processed to identify one or more proposed features for the plurality of items.
Gamalon, Inc.

Apparatus and adjusting a sensitivity buffer of semi-supervised machine learning principals for remediation of issues in a computer environment

In a host device, a method for performing an anomaly analysis of a computer environment includes applying a learned behavior function to a data training set and to a set of data elements received from at least one computer environment resource to define at least one learned behavior boundary relative to at least one cluster of data elements of the data training set; applying a sensitivity function to the at least one cluster to define a sensitivity boundary relative to at least one learned behavior boundary, the sensitivity boundary related to a variance associated with the at least one cluster and to a mean value of the at least one cluster; and identifying a data element of the set of data elements as an anomalous data element when the data element of the set of data falls outside of the sensitivity boundary.. .
Sios Technology Corporation

Control systems using deep reinforcement learning

Data indicative of a plurality of observations of an environment are received at a control system. Machine learning using deep reinforcement learning is applied to determine an action based on the observations.
United Technologies Corporation

Depth from time-of-flight using machine learning

A depth detection apparatus is described which has a memory storing raw time-of-flight sensor data received from a time-of-flight sensor. The depth detection apparatus also has a trained machine learning component having been trained using training data pairs.
Microsoft Technology Licensing, Llc

Implicit bridging of machine learning tasks

Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input..
Google Inc.

Forward-looking machine learning for decision systems

A machine-learning decision system includes an online decision system and an offline decision system. The online decision system produces a first time slice-specific decision output corresponding to a first time slice based on one or more situational inputs received in the first time slice.

Parameter data sharing for multi-learner training of machine learning applications

A machine receives a first set of global parameters from a global parameter server. The first set of global parameters includes data that weights one or more operands used in an algorithm that models an entity type.
International Business Machines Corporation

Constructing and processing computational graphs for dynamically structured machine learning models

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for constructing and processing computational graphs that represent dynamically structured machine learning models are disclosed. An example system receives data identifying a plurality of operations that can be performed on input data for processing by a dynamically structured machine learning model.
Google Inc.

Systems and methods for similar account determination

Systems, methods, and non-transitory computer-readable media can receive an indication that a user of a social networking system has interacted with a first account of the social networking system. A set of potential accounts is compiled based on account similarity criteria indicative of a similarity of each potential account to the first account.
Facebook, Inc.

Anonymous and secure classification using a deep learning network

A machine-learnt classifier is used for more anonymous data transfer. Deep learning, such as neural network machine learning, results in a classifier with multiple distinct layers.
Siemens Healthcare Gmbh

Methods and systems of assessing and managing information security risks in a computer system

In one aspect, a computerized method for assessing and managing information security risks in a computer system includes the step of receiving a customer security assessment. The method includes the step of obtaining a set of already-answered security assessment questions.

Peripheral device support with a digital assistant for operating system upgrades

A digital assistant supported across computing devices is configured to interact with an operating system (os) upgrade system so that various user experiences, services, content, or features associated with support for peripheral devices during an os upgrade of a computing device can be provided by the digital assistant and rendered as a native digital assistant user experience. The digital assistant is configured to surface a notification through a user interface (ui) when an os upgrade is available for a user's computing device and recommended for installation.
Microsoft Technology Licensing, Llc

Work assisting system including machine learning unit

A work assisting system includes a sensor unit that detects a position and an orientation of at least one body part of a worker; a supply unit that supplies a part or a tool to the worker; and a cell controller that controls the supply unit, the cell controller including a machine learning unit that constructs a model by learning a work status of the worker on the basis of the detected position and orientation, and a work status determining unit that determines the work status of the worker by using the constructed model. The supply unit selects the part or tool on the basis of the determined work status and changes the position and orientation of the part or tool on the basis of the position and orientation of the at least one body part..
Fanuc Corporation

Luminaire disease vector attenuator and surveillance device

Provided is an insect monitoring device including a tube. An attractor is positioned at an entrance to the tube, and an imaging device is configured for producing data associated with a monitored insect, wherein the data being usable in machine learning..
Ge Lighting Solutions, Llc

Motion estimation through machine learning

Use of machine learning to improve motion estimation in video encoding. According to a first aspect, there is provided a method for estimating the motion between pictures of video data using a hierarchical algorithm, the method comprising steps of: receiving one or more input pictures of video data; identifying, using a hierarchical algorithm, one or more reference elements in one or more reference pictures of video data that are similar to one or more input elements in the one or more input pictures of video data; determining an estimated motion vector relating the identified one or more reference elements to the one or more input elements; and outputting an estimated motion vector..
Magic Pony Technology Limited

Motion compensation using machine learning

Use of machine learning to improve motion compensation in video encoding. According to a first aspect, there is provided a method for motion compensation in video data using hierarchical algorithms, the method comprising the steps of: receiving one or more original blocks of video data and one or more reference blocks of video data; determining, using one or more hierarchical algorithms, one or more predicted blocks of video data from the one or more reference blocks of video data; and calculating one or more residual blocks of video data from the one or more predicted blocks of video data and the one or more original blocks of video data..
Magic Pony Technology Limited

Systems and methods for an artificial intelligence driven agent

A system and method is described that sends multiple simulated phishing emails, text messages, and/or phone calls (e.g., via voip) varying the quantity, frequency, type, sophistication, and combination using machine learning algorithms or other forms of artificial intelligence. In some implementations, some or all messages (email, text messages, voip calls) in a campaign after the first simulated phishing email, text message, or call may be used to direct the user to open the first simulated phishing email or text message, or to open the latest simulated phishing email or text message.
Knowbe4, Inc.

Extracting encryption metadata and terminating malicious connections using machine learning

A network traffic hub extracts encryption metadata from messages establishing an encrypted connection between a smart appliance and a remote server and determines whether malicious behavior is present in the messages. For example, the network traffic hub can extract an encryption cipher suite, identified encryption algorithms, or a public certificate.
Cujo Llc

Apparatus and generating internet of things data

An apparatus for generating iot data is disclosed. The apparatus may search for a real iot sensor capable of providing real iot data desired by the user, collect the real iot data desired by the user from the found real iot sensor, and provide the collected real iot data to the user.
Electronics And Telecommunications Research Institute

Wire electric discharge machine

To provide a wire electric discharge machine capable of suitably and simply performing thermal displacement correction on upper and lower guides. Provided are a storage unit that stores temperatures of machine elements and actual values for relative positions of upper and lower guides to be associated with each other as associated data; and a relational expression calculation unit that infers and calculates a relational expression between the temperature of the machine element and the relative positions of the upper and lower guides by way of machine learning with this associated data as training data.
Fanuc Corporation

Weight generation in machine learning

Technologies are generally described for systems, devices and methods relating to a machine learning environment. In some examples, a processor may identify a training distribution of a training data.
California Institute Of Technology

Systems and methods for classification of comments for pages in social networking systems

Systems, methods, and non-transitory computer-readable media according to certain aspects can obtain a comment submitted by a user on a page associated with an entity. A training data set, including a plurality of comments, that indicates whether each of the plurality of comments is actionable can be determined.
Facebook, Inc.

Training a machine to automate spot pricing of logistics services in a large-scale network

A machine learning algorithm is trained to learn to cluster a plurality of original-destination routes in a network for transporting cargo into a plurality of clusters based on similarities of the original-destination routes, and to learn to cluster the plurality of clusters into a plurality of subgroups based on customer behavior. Influencing criteria associated with each of the subgroups may be determined and based on the influencing criteria, a price elasticity curve for each of the subgroups may be generated.
International Business Machines Corporation

Compositional learning through decision tree growth processes and a communication protocol

A communication protocol is disclosed that enables multiple decision tree forest modules arranged in a compositional network to grow in a coordinated way so as to reduce error as measured by an arbitrary classification process utilizing spike encodings from any of the decision trees forest modules. The disclosed solution to compositional machine learning is agnostic to both the hardware methodology used to implement it, as well as the local decision processes that power nodes in the decision trees.
Knowm Inc

Artificial intelligence for decision making based on machine learning of human decision making process

A computer system access in a database a first linear sequence table including a plurality of entries. A respective entry of the plurality of entries includes sequential state information for a respective user.
Dreamsquare Inc.

Hyperparameter tuning

Improvements in speed and reductions in computational resource expenditure are realized in the improved tuning of hyperparameters for machine learning processes. To ensure that the values selected for hyperparameters are tuned appropriately, but quickly, several rounds of optimization are performed, each with as many or more iterations of cross-validation than prior rounds; cutting short the analysis unpromising results to devote more time and resources in analyzing promising value sets.
Microsoft Technology Licensing, Llc

Non-leading computer aided detection of features of interest in imagery

An illustrative embodiment of a computer-implemented process for non-leading computer aided detection of features of interest in a dataset, designates a particular formation using a computer recognizable gesture to identify a gestured location in an analyzed view of the dataset in response to a user identifying the particular formation in the analyzed view. The dataset is generated by a computer and representative of a portion of an object characterized by the dataset.
International Business Machines Corporation

Stab: smart triaging assistant bot for intelligent troubleshooting

In one embodiment, a server in a network reports one or more symptoms of a monitored device that is malfunctioning to a user interface via a particular chatbot session. The server receives, via the particular chatbot session, a triage request to enter a triage mode regarding the one or more reported symptoms.
Cisco Technology, Inc.

Cold start machine learning algorithm

In an example embodiment, a first plurality of images stored on a computing device is identified, each image having an indication that it depicts a first member of a social networking service. The first plurality of images is used as training data to a first machine learning algorithm to train a first machine learning algorithm model corresponding to the first member, the first machine learning algorithm model corresponding to the first member designed to calculate a member likelihood score for a candidate image.
Microsoft Technology Licensing, Llc

Network planning using mobile data collection devices and machine learning

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a layout of a utility network. In one aspect, a system includes a set of autonomous mobile data collection devices for deploying to a geographic area to collect data about the geographic area.
Google Inc.

Machine learning device and machining time prediction device

A machine learning device acquires from a numerical controller information relating to machining when the machining is performed, and further acquires an actual delay time due to servo control and due to machine movement which are caused in the machining when the machining is performed. Then, the device performs supervised learning using the acquired machining-related information as input data, and using the acquired actual delay time due to servo control and due to machine movement as supervised data, and constructs a learning model, thereby predicting the machine delay time caused in a machine with high precision..
Fanuc Corporation

Methods and machine learning predictions of manufacture processes

The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object.
Xometry, Inc.

Wire electric discharge machine

To provide a wire electric discharge machine which can appropriately perform thermal displacement correction of upper/lower guides even when the installation environment changes. Provided are a storage unit that stores temperatures of machine elements as temperature data, and a rendering unit that digitizes the installation environment and renders as environmental data.
Fanuc Corporation

Blood pressure estimation by wearable computing device

According to one aspect of the present disclosure, a method for estimating blood pressure is provided, comprising training a machine learning model on a cohort data set. The cohort data set may include subject-specific contextual data, time-varying features, and blood pressure measurements for a plurality of subjects.
Microsoft Technology Licensing, Llc

Method, system and medium for improving the quality of 2d-to-3d automatic image conversion using machine learning techniques

A method, system and medium for improving the quality of 2d-to-3d automatic conversion in a computing device by using machine learning techniques is provided, comprising: receiving new 2d image from user input; recognizing multiple objects in the new 2d image by machine learning algorithm; obtaining the hierarchical relations among objects according to the features of the said objects; improving the quality of 3d image according to the hierarchical relations. The implementation of this invention provides a more distinct classification of objects in a 2d image, thereby improving the 2d-to-3d conversion in the computing device..
Marvel Digital Limited

Machine learning collaboration system and method

A method, computer program product, and computer system for acquiring data representing a plurality of collaboration items, each collaboration item being associated with one of a communication and a collaboration among a subset of one or more users. Using a machine learning procedure, one of at least one latent variable and at least one action variable in a model of the data representing the plurality of collaboration items may be determined.
Gamalon, Inc.

Isolation networks for computer devices

In one embodiment, a server instructs one or more networking devices in a local area network (lan) to form a virtual network overlay in the lan that redirects traffic associated with a particular node in the lan to the server. The server receives the redirected traffic associated with the particular node.
Cisco Technology, Inc.

Systems and methods for medical diagnosis and biomarker identification using physiological sensors and machine learning

Predictive healthcare systems utilize the signal produced by physiological and, in some embodiments, environmental sensors to infer, computationally, a physiological parameter of the patient. The physiological sensors may include a vibro-acoustic sensor in contact with a patient over at least the frequency band 0.001 hz to 40 khz and a bio-electric sensor.

Storage device, memory system, and read voltage decision method thereof

A memory system includes multiple storage devices that each include a nonvolatile memory device. A client device is configured to collect deterioration information of the nonvolatile memory devices provided from the storage devices.
Samsung Electronics Co., Ltd.

Vehicle ambient audio classification via neural network machine learning

A method and an apparatus for detecting and classifying sounds around a vehicle via neural network machine learning are described. The method involves an audio recognition system that may determine the origin of the sounds being inside or outside of a vehicle and classify the sounds into different categories such as adult, child, or animal sounds.
Ford Global Technologies, Llc

Artificial intelligence based health coaching based on ketone levels of participants

A system is disclosed that uses profiles of users, including monitored ketone levels of the users, to assess effectiveness levels of health programs (such as weight loss programs) assigned to the users, and to select health program modifications for the users. The system may use a machine learning (artificial intelligence) algorithm to adaptively learn how to classify users and to select messaging and behavioral modifications for the users.
Invoy Technologies, Llc

Matrix factorization with two-stage data block dispatch associated with graphics processing units

Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a system includes a first graphics processing unit, a second graphics processing unit and a central processing unit.
International Business Machines Corporation

System and classification and authentication of identification documents using a machine learning based convolutional neural network

The present disclosure describes systems and methods to classify and authenticate id documents based on the information contained on the face of the id document. This present system can automatically classify, authenticate, and extracting data from documents using artificial intelligence (ai) based machine learning for image recognition.
Confirm, Inc.

Automated cognitive psychometric scoring

A computer-implemented method for automated psychometric scoring which includes: collecting applicant data pertaining to an application from an applicant, the data including the applicant's name, age and demographic information; collecting textual information posted by the applicant from social media; automatically obtaining a personality profile of the applicant computed from the textual information; building a consolidated applicant profile by joining the personality profile and the applicant data; inputting the consolidated applicant profile into a machine learning model to compute an approval score with respect to approving or not approving the application; and outputting the approval score from the machine learning model.. .
International Business Machines Corporation

Estimating the number of attendees in a meeting

Methods, systems, and computer program products for estimating the number of attendees in a meeting are provided herein. A computer-implemented method includes generating one or more event attendance models for individuals, wherein said generating comprises applying one or more machine learning techniques to a set of training data; computing a probability that each of the individuals will attend a given event by applying one or more of the generated attendance models to (i) an invitation for the given event and (ii) a communication attributed to each of the individuals in response to the invitation; estimating the number of the individuals that will attend the given event by combining the computed probabilities; and outputting the estimated number of the individuals that will attend the given event to at least one user..
International Business Machines Corporation

Machine learning apparatus that learns setting value in machining program of machine tool, and machining system

A machine learning apparatus learns a setting value in a machining program of a machine tool configured to machine an impeller. The machine learning apparatus includes a state observation unit configured to acquire the thermal displacement amount during a period of machining a workpiece, as a state variable, and a determination data acquisition unit configured to receive the imbalance amount in the impeller after machining as determination data.
Fanuc Corporation

Processing machine learning attributes

Systems and methods for processing machine learning attributes are disclosed. An example method includes: identifying a user transaction associated with a set of transaction attributes and a first transaction status; selecting, based on a risk evaluation model, a first plurality of transaction attributes from the set of transaction attributes; modifying a first value of a first transaction attribute in the first plurality of transaction attributes to produce a first modified plurality of transaction attributes; determining, based on the risk evaluation model, that the first modified plurality of transaction attributes identify a second transaction status different from the first transaction status; and in response to the determining, identifying the first transaction attribute as a risk attribute associated with the user transaction..
Paypal, Inc.

Systems and methods for utilizing machine learning to identify non-technical loss

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating to a plurality of energy usage conditions. Signal values for the set of signals can be determined.
C3, Inc.

Predicting safety incidents using machine learning

A safety system associated with a travel coordination system collects safety data describing safety incidents by providers and generates a plurality of safety incident prediction models using the safety data. The safety incident prediction models predict likelihoods that providers in the computerized travel coordination system will be involved in safety incidents.
Uber Technologies, Inc.

Systems and methods for facilitating recognition of a device and/or an instance of an app invoked on a device

A system of classifying devices and/or app instances a new or returning divides attributes generated from observations received from an uncharacterized device/software app into base-fingerprint attributes and predictor attributes, where the two kinds of attributes have different longevities. Predictor attribute tuples from attribute tuples having the same base fingerprint as the base fingerprint corresponding to the uncharacterized device/app, and the predictor attribute tuple corresponding to the uncharacterized device/app are analyzed using a machine learned predictor function to obtain a final fingerprint.
Inauth, Inc.

Systems and methods for recognizing a device and/or an instance of an app invoked on a device

A system of classifying devices and/or app instances a new or returning divides attributes generated from observations received from an uncharacterized device/software app into base-fingerprint attributes and predictor attributes, where the two kinds of attributes have different longevities. Predictor attribute tuples from attribute tuples having the same base fingerprint as the base fingerprint corresponding to the uncharacterized device/app, and the predictor attribute tuple corresponding to the uncharacterized device/app are analyzed using a machine learned predictor function to obtain a final fingerprint.
Inauth, Inc.

Machine learning with partial inversion

An example embodiment may involve a machine learning model representing relationships between a dependent variable and a plurality of n independent variables. The dependent variable may be a function of the n independent variables, where the n independent variables are measurable characteristics of computing devices, and where the dependent variable is a predicted behavior of the computing devices.
Servicenow, Inc.

System and adaptive, rapidly deployable, human-intelligent sensor feeds

The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis.
Carnegie Mellon University, A Pennsylvania Non-pro Fit Corporation

System and predicting and analyzing undiagnosed medical conditions

A computerized system and method for analyzing encounter data representing encounters between patients and health care providers to predict whether one or more of the patients may have an undiagnosed condition. This prediction can be made by a machine learning algorithm that determines a probability that an undiagnosed condition may be present for encounters.
Atomo, Inc.

Cohort detection from multimodal data and machine learning

Cohort detection from multimodal data by machine learning is provided. In various embodiments, a plurality of patient records associated with a patient are read from a plurality of data sources.
International Business Machines Corporation

System and optimizing and enhancing visibility of the website

The present invention provides a method and system for optimizing by intelligently prompting one or more websites to enhance visibility of the website in a search conducted by a search engine and involves configuring one or more rules based on outcome of machine learning by analyzing the search engine configuration and ranking parameters responsible to improve rank of the websites, and dynamically creating a processor adapted to nm multi-threads for each of the one or more websites, analyzing the one or more websites based on the said one or more rules, determining one or more parameters based on the analysis of the one or more websites, and intimating website's owner for one or more actions to be taken based on the one or more parameters through one or more communication medium, thereby enhancing website's chances of discovery.. .
Nowfloats Technologies Pvt. Ltd.

Systems and methods for providing service directory predictive search recommendations

Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model.
Facebook, Inc.

Systems and methods for determining recommendations for pages in social networking systems

Systems, methods, and non-transitory computer-readable media according to certain aspects can obtain a goal associated with a page provided by a social networking system. Potential recommendations for the page can be determined based on a first machine learning model.
Facebook, Inc.

Multi-media context language processing

Technology is disclosed that improves language processing engines by using multi-media (image, video, etc.) context data when training and applying language models. Multi-media context data can be obtained from one or more sources such as object/location/person identification in the multi-media, multi-media characteristics, labels or characteristics provided by an author of the multi-media, or information about the author of the multi-media.
Facebook, Inc.

Automatic pre-detection of potential coding issues and recommendation for resolution actions

A tool for automatic pre-detection of potential software product impact according to a statement placed in a software development system, and for automatically recommending for resolutions which accesses a repository of information containing a history of changes and effects of the changes for a software project; using a received a statement in natural language to perform a natural language search of the repository; according to the findings of the search of the repository, using a machine learning model to compose an impact prediction regarding the received statement relative to the findings; and automatically placing an advisory notice regarding to the impact prediction into the software development system, wherein the advisory notice is associated with the received statement.. .
International Business Machines Corporation

Preprocessing tensor operations for optimal compilation

Techniques to preprocess tensor operations prior to code generation to optimize compilation are disclosed. A computer readable representation of a linear algebra or tensor operation is received.
1026 Labs, Inc.

Human collaborative robot system having improved external force detection accuracy by machine learning

A human collaborative robot system having a function of detecting a force includes a human collaborative robot and a learning unit into which sensing data, internal data, and calculation data are input. The learning unit outputs a first force component applied to the human collaborative robot from outside, a second force component occurring in an operation of the human collaborative robot, and a third force component categorized as noise; and performs learning using supervised data in which inputs and correct labels obtained in advance are collected in pairs, wherein the correct labels of the supervised data are obtained by exerting a force on the human collaborative robot from outside, operating the human collaborative robot over a plurality of paths, and applying noise to the human collaborative robot, and the operation of the human collaborative robot is controlled based on the first force component output from the learning unit..
Fanuc Corporation

System and seismic facies identification using machine learning

A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system..
Chevron U.s.a. Inc.

Systems and methods for closed-loop determination of stimulation parameter settings for an electrical simulation system

A method or system for facilitating the determining and setting of stimulation parameters for programming an electrical stimulation system using closed loop programming is provided. For example, pulse generator feedback logic is executed by a processor to interface with control instructions of an implantable pulse generator by incorporating one or more machine learning engines to automatically generate a proposed set of stimulation parameter values that each affect a stimulation aspect of the implantable pulse generator, receive one or more clinical responses and automatically generate a revised set of values taking into account the received clinical responses, and repeating the automated receiving of a clinical response and adjusting the stimulation parameter values taking the clinical response into account, until or unless a stop condition is reach or the a therapeutic response is indicated within a designated tolerance..
Boston Scientific Neuromodulation Corporation

Machine learning coordinated wireless networking

The disclosed methods and systems use artificial intelligence (ai) and machine learning (ml) technologies to model the usage and interference on each channel. For example, units of the system can measure channel interference regularly over the time of day on all radios.
Netgear, Inc.

Analyzing encrypted traffic behavior using contextual traffic data

In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client.
Cisco Technology, Inc.

User profile selection using contextual authentication

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that are associated with user profile selection using contextual authentication. In various embodiments, a first user of a computing device may be authenticated and have an access control state corresponding to a first user profile established, the computing device may select a second user profile based at least in part a changed user characteristic, and the computing device may present a resource based at least in part on the second user profile.
Intel Corporation

Systems and methods to prompt page administrator action based on machine learning

Systems, methods, and non-transitory computer readable media are configured to receive values associated with features corresponding to an instance involving a page of a social networking system and an administrator of the page. The values associated with the features are applied to a machine learning model.
Facebook, Inc.

Machine learning coordinated wireless networking

The disclosed methods and systems use artificial intelligence (ai) and machine learning (ml) technologies to model the usage and interference on each channel. For example, units of the system can measure channel interference regularly over the time of day on all radios.
Netgear, Inc.

Generating customizable personal healthcare treatment plans

Personalized treatment plan generation from an inference engine of a system. The system may receive or retrieve data from a plurality of sources and parse the data to generate individual data fields defining characteristics of a patient.
Viviphi Ltd.

Aerial vehicle engine health prediction

Systems and methods for navigating an unmanned aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for modeling engine health.
General Electric Company

Machine learning device and machine learning learning correlation between shipment inspection information and operation alarm information for object

A machine learning device which learns a correlation between shipment inspection information obtained by inspecting an object in shipment thereof and operation alarm information issued during operation of the object, includes a state observation unit which observes the shipment inspection information and the operation alarm information; and a learning unit which generates a learning model based on the shipment inspection information and the operation alarm information observed by the state observation unit.. .
Fanuc Corporation

Offering personalized and interactive decision support based on learned model to predict preferences from traits

A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a personalized interactive decision support system. A personalized product recommendation module executing within the personalized interactive decision support system correlates at least one customer to a set of consumption preferences using a machine learning model based on a set of traits of the at least one customer to form at least one customer-to-preference correlation.
International Business Machines Corporation

Impact identification of new product

One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: identifying a new product launch having a predetermined time frame; identifying at least one existing maintenance contract expiring within the predetermined time frame; generating at least one machine learning model, wherein the at least one machine learning model identifies influence of the new product launch on an existing contract; determining, using the at least one machine learning model, impact of the new product launch on revenue received from the at least one existing maintenance contract; and providing a recommendation to a user, wherein the recommendation identifies prioritization of the at least one existing maintenance contract with respect to other actions based upon the new product launch. Other aspects are described and claimed..
International Business Machines Corporation

Ensemble machine learning for structured and unstructured data

A machine learning system includes a data set processing subsystem to store data objects from multiple sources. An ensemble machine learning subsystem and a data search function may execute queries and identify related structured and unstructured data from the stored data objects.
Accenture Global Solutions Limited

Parameter version vectors used for deterministic replay of distributed execution of workload computations

A method includes storing parameter versions utilized by learner instances in each of two or more epochs in a parameter receiving buffer of a parameter server, the learner instances performing distributed execution of workload computations of a machine learning algorithm. The method also includes creating a parameter roster in the parameter server comprising parameter version vectors specifying the parameter versions used by each of the learner instances during each of the two or more epochs.
International Business Machines Corporation

Method for editing machine learning result and information processing apparatus

A machine learning result editing program recorded on a recording medium causes a computer to execute a process of generating a group of relevant words on the basis of expressions of words learned by a machine learning processing program that learns the expressions of the words on the basis of input data. The machine learning result editing program causes the computer to execute: a process of causing a display unit to display the generated group of relevant words; and a process of exercising control so that, after a designation of a word to be eliminated from the displayed group of relevant words is received, when a process is performed by using the group of relevant words generated on the basis of the expressions of the words learned by the machine learning processing program, the process is performed by using the group from which the designated word has been eliminated..
Fujitsu Limited

Discrete variational auto-encoder machine learning using adiabatic quantum computers

A computational system can include digital circuitry and analog circuitry, for instance a digital processor and a quantum processor. The quantum processor can operate as a sample generator providing samples.
D-wave Systems Inc.

Machine learning of analogic patterns

Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. A phrase is parsed into a set of terms to reveal an analogical pattern.
International Business Machines Corporation

Extracting an emotional state from device data

Representative embodiments disclose mechanisms to extract an emotional state from contextual user data and public use data collected from one or more devices and/or services. The contextual and public data are combined into an enriched data set.
Microsoft Technology Licensing, Llc

Systems and methods for suggesting content

Systems, methods, and non-transitory computer-readable media can train a machine learning model to output respective scores for content items based at least in part on information describing a user, wherein a score for a content item measures a likelihood that the user will select the content item to be included in a social profile of the user. A determination is made that a first user of the social networking system is eligible for a content item suggestion.
Facebook, Inc.

Machine learning classifier and prediction engine for artificial intelligence optimized prospect determination on win/loss classification

Embodiments of a system and method for identifying and prioritizing company prospects by training at least one classifier on client company win/loss metrics. One or more classifiers can be trained on a training database compiled from company win/loss database for a client and firmographic data from a robust business entity database.
The Dun & Bradstreet Corporation

Method and device for detecting unauthorized tranfer between persons

A method of confirming the identity of a person who issued a token to signify eligibility for a privilege. Possession token is confirmed to be by the same person by using sensors in the token which track the movements of the person.

Medical risk factors evaluation

A method, apparatus and computer program product for using a machine learning system to evaluate medical risks are described. A set of symptoms and a set of causal factors is used by the machine learning system to learn a set of association link formulas.
International Business Machines Corporation

Medical risk factors evaluation

A method, apparatus and computer program product for using machine learning to evaluate medical risks are described. A graphical user interface is provided for entering a set of patient symptoms for a first patient.
International Business Machines Corporation

System and medical image interpretation

An artificial intelligence findings system includes a findings engine that receives medical image data and generates findings based on the medical image data and image interpretation algorithms that take into account stored preferences for a user. A client viewer presents the findings to the user.
Terarecon, Inc.

Ranking search results using machine learning based models

An online system identifies and ranks records using multiple machine learning models in response to a search query. Therefore, the online system can provide selected records that are of the most relevance to a user of a client device that provided the search query.
Salesforce.com, Inc.

Machine learning-based data aggregation using social media content

Machine learning-based data aggregation using social media content is described herein. An example method includes receiving news content from a plurality of online sources, parsing the news content to determine keywords or phrases related to topics of interest, creating a search query from the keywords or phrases, searching one or more social networks for social media content that matches the keywords or phrases in the search query, processing the social media content by at least one of filtering and ranking, and providing the processed social media content to an individual..
Crowdynews

Ranking search results using hierarchically organized machine learning based models

A multi-tenant system stores a hierarchy of machine-learned models, wherein each machine-learned model is configured to receive as input a set of search results and generate as output scores for ranking the set of search results. Each machine-learned model is associated with a set of dimensions.
Salesforce.com, Inc.

Accounting for positional bias in a document retrieval system using machine learning

A document retrieval system tracks user selections of documents from query search results and uses the selections as proxies for manual user labeling of document relevance. The system trains a model representing the significance of different document features when calculating true document relevance for users.
Salesforce.com, Inc.

Digital assistant extension automatic ranking and selection

Representative embodiments disclose mechanisms to automatically rank and select extensions triggered in a digital assistant. A sample set of extensions are executed against a set of curated queries in order to extract a set of features and/or statistics.
Microsoft Technology Licensing, Llc

Data science versioning and intelligence systems and methods

This disclosure relates to systems and methods for interacting with, controlling, and/or otherwise managing statistical, machine learning, data mining, and/or other predictive methods to produce algorithms for intelligent systems. Various embodiments allow for management of diverse, distributed predictive algorithms via user interfaces and apis that enable access to configuration, optimization, and/or other activities related to managing computational models in training, production, and/or archival processes.
Proekspert As

Control device for controlling robot by learning action of person, robot system, and production system

A control device for a robot for performing an operation in cooperation with a person, the control device includes a machine learning device including a recognition unit for classifying an action of the person, and a learning unit for learning the action of the person, while the person performs an operation in cooperation with the robot; and an action control unit for controlling the action of the robot based on a result of the classification of the recognition unit.. .
Fanuc Corporation

Intravenous fluid monitoring system

An intravenous (iv) fluid monitoring system includes a sensing element, a user locator device, a location server, and an analytics server. The sensing element senses weight of an iv bag and transmits weight data and a first id signal corresponding to the iv bag.

Identifying and using dns contextual flows

In one embodiment, a device in a network captures domain name system (dns) response data from a dns response sent by a dns service to a client in the network. The device captures session data for an encrypted session of the client.
Cisco Technology, Inc.

Machine learning classification using markov modeling

Systems, methods, and articles of manufacture, including computer program products, are provided for classification systems and methods using modeling. In some example embodiments, there is provided a system that includes at least one processor and at least one memory including program code which when executed by the at least one memory provides operations.
Cylance Inc.

Detecting malicious usage of certificates

The misuse of public key, private key, and public/private key certificates poses significant security challenges to computer networks that are addressed by certificate monitoring. Certificate monitoring allows network administrators to detect and remedy poor security practices related to public key certificates and to detect and combat the malicious use of public key certificates in a centralized environment.
Microsoft Technology Licensing, Llc.

Estimating time duration of bandwidth availability

In one embodiment, a device in an access network receives network condition data regarding the access network and requested flow characteristic data. The requested flow characteristic data is indicative of one or more flow characteristics requested by one or more subscribers for different periods of time.
Cisco Technology, Inc.

Machine learning controller for prize dispensing entertainment machines

A system to rapidly set up new claw machines for different styles of prizes, while also providing an excellent player experience through dynamically changing claw machine behavior through machine learning algorithms. These systems can be readily installed on most any crane machine by replacing the controller card.

Systems and methods for promoting content items

Systems, methods, and non-transitory computer-readable media can determine at least one content item to be promoted to one or more users. One or more tokens that describe the content item are determined.
Facebook, Inc.

Predicting aggregate value of objects representing potential transactions based on potential transactions expected to be created

An online system stores objects representing potential transactions of an enterprise. The online system uses predictor models to determine an aggregate score based on values of the objects associated with a time interval, for example, a month.
Salesforce.com, Inc.

E-commerce marketplace and platform for facilitating cross-border real estate transactions and attendant services

An e-commerce real estate marketplace and platform includes one or more systems and methods for facilitating all aspects of cross-border real-estate transactions. Included are one or more unique machine learning techniques that together with multiple data processing steps perform mathematical calculations and/or automated reasoning tasks that allow buyers, sellers, and third parties to execute satisfactory transactions in a secure and confidential environment with complete certainty..

Unsupervised machine learning ensemble for anomaly detection

An anomaly detection model generator accesses sensor data generated by a plurality of sensors, determines a plurality of feature vectors from the sensor data, and executes a plurality of unsupervised anomaly detection machine learning algorithms in an ensemble using the plurality of feature vectors to generate a set of predictions. Respective entropy-based weightings are determined for each of the plurality of unsupervised anomaly detection machine learning algorithms from the set of predictions.
Intel Corporation

Static and dynamic device profile reputation using cloud-based machine learning

Disclosed herein are cloud-based machine learning systems and methods for monitoring networked devices to identify and classify characteristics, to infer typical or atypical behavior and assign reputation profiles across various networked devices, and to make remediation recommendations. In some embodiments, a cloud-based machine learning system may learn the typical operation and interfacing of a plurality of reputable devices that are known to be free from malicious software and other threats.
Mcafee, Llc

Rare event forecasting system and method

A system and method for predicting or forecasting rare events, such as instances of violent crime within a spatial region, in combination with other correlative variables, such as weather data. One or more machine learning algorithms is employed in order to predict rare events in conjunction with geospatial information and one or more correlative variables.
Civicscape, Llc

Database-management system with artificially intelligent virtual database administration

A method and associated systems for a database-management system with artificially intelligent database administration. The dbms includes one or more databases, each of which is monitored by sensors that detect conditions indicative of database performance.
International Business Machines Corporation

Systems and methods for providing feed page updates in a social networking system

Systems, methods, and non-transitory computer readable media can determine one or more user-related metrics relating to each page of a plurality of pages associated with an administrator based on a first machine learning model. One or more recommendations relating to each page of the plurality of pages can be determined based on a second machine learning model.
Facebook, Inc.

Predicting aggregate value of objects representing potential transactions

An online system stores objects representing potential transactions of an enterprise. The online system uses predictor models to determine an aggregate score based on values of the objects associated with a time interval, for example, a month.
Salesforce.com, Inc.

Method and machine learning

A machine learning apparatus determines an order in which numerical values in an input dataset are to be entered to a neural network for data classification, based on a reference pattern that includes an array of reference values to provide a criterion for ordering the numerical values. The machine learning apparatus then calculates an output value of the neural network whose input-layer neural units respectively receive the numerical values arranged in the determined order.
Fujitsu Limited

Centroid for improving machine learning classification and info retrieval

Centroids are used for improving machine learning classification and information retrieval. A plurality of files are classified as malicious or not malicious based on a function dividing a coordinate space into at least a first portion and a second portion such that the first portion includes a first subset of the plurality of files classified as malicious.
Cylance Inc.

Method and authoring machine learning-based immersive (4d) media

A method and an apparatus for authoring a machine learning-based immersive media are provided. The apparatus determines an immersive effect type of an original image of image contents to be converted into an immersive media by using an immersive effect classifier learned using an existing immersive media that the immersive effect is already added to an image, detects an immersive effect section of the original image based on the immersive effect type determination result, and generates metadata of the detected immersive effect section..
Electronics And Telecommunications Research Institute

Method and system for automated brain tumor diagnosis using image classification

A method and system for classifying tissue endomicroscopy images are disclosed. Local feature descriptors are extracted from an endomicroscopy image.
Siemens Aktiengesellschaft

System and personalized migraine prediction powered by machine learning

The present disclosure relates to a system, method, and computer program for predicting migraines using machine learning. More specifically, the system predicts the likelihood that a user will have a migraine within a certain period of time (e.g., a month) based on migraine causes/triggers x1 .
Wings Ict Solutions Ltd.

Framework for management of models based on tenant business criteria in an on-demand environment

In accordance with embodiments, there are provided mechanisms and methods for facilitating a framework for management of machine learning models for tenants in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method comprises determining, by a model management server computing device (“management device”), business criteria for a tenant in a multi-tenant environment, where the business criteria are based on business preferences of the tenant.
Salesforce.com, Inc.

Eyeglasses having inward-facing and outward-facing thermal cameras

Described herein are systems and methods for detecting a physiological response based on thermal measurements while accounting for effects of the environment. In one embodiment, a system includes an inward-facing head-mounted thermal camera (camin) that takes thermal measurements of a region of interest (throi) on a user's face, and an outward-facing head-mounted thermal camera (camout) that takes thermal measurements of the environment (thenv).
Facense Ltd.

Configuration parameters for virtual machines

A computer implemented method to generate a classification scheme for configuration parameters of virtual machines (vms) in a virtualized computing environment including: training a machine learning algorithm as a classifier based on a plurality of training data items, each training data item corresponding to a training vm and including a representation of parameters for a configuration of the training vm and a representation of characteristics of security attacks for the training vm; and generating a data structure for storing one or more relationships between vm configuration parameters and attack characteristics, wherein the data structure is generated by sampling the trained machine learning algorithm to identify the relationships.. .
British Telecommunications Public Limited Company

Hierarchical construction of investment portfolios using clustered machine learning

Described herein are methods and system for generating a hierarchical data structure. A cluster of server computing devices receives a matrix of observations, derives a robust covariance matrix, and divides the matrix of observations into a plurality of computation tasks.

Providing intelligence based on adaptive learning

An analysis server receives data of multiple types. The analysis server uses multiple generated and pre-trained analysis models and semantic layer operations to analyze the data and search for and detect correlations, trends, and/or predictions using adaptive artificial intelligence or machine learning algorithms.
Icharts, Inc.

Enhanced ride sharing user experience

Disclosed in some examples, are methods, systems, and machine readable mediums which provide for improved matching of drivers and passengers in ride sharing systems using automatically determined user contexts. A score may be generated for each particular nearby driver that describes a suitability of the passenger and the driver given their respective contexts.
Intel Corporation

Intelligence generation based on adaptive learning

An analysis server receives data of multiple types. The analysis server uses multiple generated and pre-trained analysis models and semantic layer operations to analyze the data and search for and detect correlations, trends, and/or predictions using adaptive artificial intelligence or machine learning algorithms.
Icharts, Inc.

Method and system for an end-to-end artificial intelligence workflow

In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training..
Acusense Technologies, Inc.

Artificial intelligence development via user-selectable/connectable model representations

In some embodiments, user-selectable/connectable model representations may be provided via a user interface to facilitate artificial intelligence development. The model representations may comprises first and second machine learning model (ml) representations corresponding to first and second ml models, and non-ml model representations corresponding to non-ml models.
Clarifai, Inc.

Artificial intelligence model and data collection/development platform

In some embodiments, a service platform that facilitates artificial intelligence model and data collection and collection may be provided. Input/output information derived from machine learning models may be obtained via the service platform.
Clairfai, Inc.

Machine learning device and machine learning learning optimal object grasp route

A machine learning device according to the present invention learns an operation condition of a robot that stores a plurality of objects disposed on a carrier device in a container using a hand for grasping the objects. The machine learning device includes a state observation unit for observing the positions and postures of the objects and a state variable including at least one of cycle time to store the objects in the container and torque and vibration occurring when the robot grasps the objects during operation of the robot; a determination data obtaining unit for obtaining determination data for determining a margin of each of the cycle time, the torque, and the vibration against an allowance value; and a learning unit for learning the operation condition of the robot in accordance with a training data set constituted of a combination of the state variable and the determination data..
Fanuc Corporation

Machine learning model for predicting state of an object representing a potential transaction

An online system stores objects representing potential transactions of an enterprise. The online system uses machine learning techniques to predict likelihood of success for a potential transaction object.
Salesforce.com, Inc.

Machine learning predicting file controls

An adaptive machine learning system for predicting file controls includes a memory, an interface, and a processor. The memory stores a plurality of controls for incoming files and the interface receives a first file and a second file.
Bank Of America Corporation

Systems and methods for transitioning user accounts

Systems, methods, and non-transitory computer-readable media can train a machine learning model to classify at least one user account as either a first type of account or a second type of account based at least in part on one or more respective features corresponding to the user account and determine that a first user account that was created as the first type of account should be converted to the second type of account based at least in part on the machine learning model.. .
Facebook, Inc.

Data processing device, data processing method, and computer-readable recording medium

A data processing device 100 is intended to provide learning data to a system 200 that generates a prediction model by performing machine learning. The data processing device 100 includes: a data obtaining unit 10 that obtains learning data input from the outside; an encryption unit 20 that encrypts the learning data so that a prediction model generated from the learning data in an unencrypted state and a prediction model generated from the learning data in an encrypted state have a corresponding relationship with each other in terms of parameters, numeric values, and operators; and a data output unit 30 that outputs the encrypted learning data to the system 200..
Nec Corporation

Hybrid approach for developing, optimizing, and executing conversational interaction applications

A system for hybrid approach to natural language understanding is provided, comprising a machine learning configured to create a new natural language understanding model from user-provided examples, and provide a natural language understanding model dataset to other components of the system; an integrated development environment configured to retrieve the natural language understanding model dataset, and publish a hybrid runtime solution; and an interaction engine configured to: retrieve the hybrid runtime solution, receive a natural language input, and process the natural language input and generate a log dataset; wherein, the log dataset may be used to retrain and improve existing models.. .
Artifical Solutions Iberia S.l.

Decision making for autonomous vehicle motion control

A behavior planner for a vehicle generates a plurality of conditional action sequences of the vehicle using a tree search algorithm and heuristics obtained from one or more machine learning models. Each sequence corresponds to a sequence of anticipated states of the vehicle.
Apple Inc.

Prediction-model-based mapping and/or search using a multi-data-type vector space

In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models.
Clarifai, Inc.

Rfid tag detection and position differentiation for dice gaming

Methods, systems, and devices are described herein for reading at least one dice. In one aspect, a method may include transmitting an rfid signal proximate to at least one dice, for example, which is contained within a dice gaming system.
Interblock Usa L.c.

Database query classification

A method for improving database query classification includes reducing a predetermined plurality of features, generated by an optimizer, to a learned model of features by using a machine learning method. Classification is performed based on features of the query and features of operators executed by the query.
Hewlett Packard Enterprise Development Lp

Timing estimations for application lifecycle management work items determined through machine learning

In some examples, a method may include accessing data records of completed work items associated with managing a lifecycle of a software application and extracting feature values from the data records of the completed work items for a selected set of features. The method may also include determining timing data of state transitions for the completed work items from the data records and generating a predictor through machine learning using the timing data and the extracted feature values as input samples.
Hewlett Packard Enterprise Development Lp

Physical model and machine learning combined method to simulate autonomous vehicle movement

In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario.
Baidu Usa Llc

Specialized trap for ground truthing an insect recognition system

Systems and methods can be provided to monitor insects (e.g., mosquitoes) in the field and gather data to ground truth one or more sensors or machine learning classification algorithms for classifying insects. A trap with various sensor capabilities can capture various insects and data pertaining to the captured insects.
Verily Life Sciences Llc

Image stabilization techniques for video surveillance systems

A behavioral recognition system may include both a computer vision engine and a machine learning engine configured to observe and learn patterns of behavior in video data. Certain embodiments may provide image stabilization of a video stream obtained from a camera.
Omni Ai, Inc.

Delivering content items using machine learning based prediction of user actions

An online system trains a machine learning model for providing content items to users of the online system. The online system logs actions performed by users and generates user feature vectors based on the logged actions.
Facebook, Inc.

Detecting behavioral anomaly in machine learned rule sets

Roughly described, anomalous behavior of a machine-learned computer-implemented individual can be detected while operating in a production environment. A population of individuals is represented in a computer storage medium, each individual identifying actions to assert in dependence upon input data.
Sentient Technologies (barbados) Limited

Method and system for performing context-aware prognoses for health analysis of monitored systems

Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes.
Oracle International Corporation

Method and process of implementing machine learning in complex multivariate wafer processing equipment

Methods and systems for controlling processing state of a plasma reactor to initiate processing of production substrates and/or to determine a ready state of a reactor after the reactor has been cleaned and needs to be seasoned for subsequent production wafer processing are provided. The method initiate processing of a substrate in the plasma reactor using settings for tuning knobs of the plasma reactor that are approximated to achieve desired processing state values.
Lam Research Corporation

System and electronic communications

In accordance with an aspect, there is provided a system and method for electronic communications that involves machine learning and natural language processing for contact relationship discovery, ranking and retrieval. In accordance with an aspect, there is provided a system and device that discovers contacts related to user search terms, quantitatively measures and ranks the strength between contact relationships according to a score calculated by natural language processing and machine learning.
Royal Bank Of Canada

Systems and methods for sensor data analysis through machine learning

Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data.
Deep Labs Inc.

Population-based learning with deep belief networks

A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment.
Mtelligence Corporation

Information processing apparatus and information processing method

A control unit extracts a plurality of potential features each included in at least one of a plurality of teacher data elements, from the plurality of teacher data elements. The control unit calculates the degree of importance of each potential feature in machine learning on the basis of the frequency of occurrence of the potential feature in the teacher data elements.
Fujitsu Limited

Optimizing machine learning running time

An optimization of running time for performing a machine learning algorithm on a processor architecture may be performed and include determining a plurality of parameters to be configured in the machine learning algorithm, and initiating, in the optimization, a plurality of iterations of performance of the machine learning algorithm by the processor architecture. Each of the iterations may include detecting a running time of an immediately preceding one of the iterations, changing a value of one of the parameters used in the immediately preceding iteration to form a new set of values, where the value is changed based on the detected running time of the immediately preceding iteration and according to a downhill simplex algorithm.
Intel Corporation

Ground truth generation for machine learning based quality assessment of corpora

A mechanism is provided in a computing device configured with instructions executing on a processor of the computing device to implement a ground truth generation system for quality assessment scoring of articles in a corpus. The ground truth generation system receives recommendations of a set of recommended articles from subject matter experts.
International Business Machines Corporation

Machine learning-based relationship association and related discovery and search engines

Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora.
Thomson Reuters Global Resources

Information processing device

There is provided an information processing device to improve generalization performance of the neural network, the information processing device including: a control unit configured to control display related to a setting of a parameter related to physical simulation; a communication unit configured to transmit the parameter to a physical simulator and receive image information obtained in the physical simulation from the physical simulator; and a machine learning unit configured to perform machine learning on the basis of the image information. The control unit causes a display unit to display a learning result obtained by the machine learning unit and the parameter in association with each other..
Sony Corporation

Font replacement based on visual similarity

Font replacement based on visual similarity is described. In one or more embodiments, a font descriptor includes multiple font features derived from a visual appearance of a font by a font visual similarity model.
Adobe Systems Incorporated

Training machine learning models to detect objects in video data

Systems and methods are described for training machine learning models to detect objects in image or video data. A system may select a first sample set of frames from one or more video files.
Gumgum, Inc.

Efficiently building nutrition intake history from images of receipts

This invention provides an efficient and feasible method, system and computer program for retrieving total nutrition facts from purchase transaction information including receipt images and other complementary data. The said facts are used to build up the nutrition intake history, provide nutrition intake reports and customized nutrition suggestions based on the users' personal health related information and nutrition intake data.
Whatubuy Llc

Machine learning models for identifying sports teams depicted in image or video data

Systems and methods are described for identifying at least one sports team depicted in media content, such as image or video data. Features of the media content may be provided as input to a first set of classification models that are each trained to identify at least one type of scene associated with one or more sports, then features of the media content may be provided to a second set of classification models trained to identify at least one object associated with one or more sports.
Gumgum, Inc.

Methods of detecting moire artifacts

A method of detecting moire artefacts in a digital image comprises calculating at least one parameter relating to at least one feature of the digital image. The at least one parameter is compared to at least one corresponding threshold, wherein the at least one threshold is determined by a machine learning process, based on a set of example images and reference parameters for the set of example images.
Hp Indigo B.v.

Detection linux platform malware

A method of detecting malware in linux platform through the following steps: use objdump-d command to disassemble elf format benign software and malware samples to generate assembly files; traverse the generated assembly files one by one, read the elf files' code segment and meanwhile identify whether the code segment contains main( ) function; analyze the code segment read. Divide assembly code into different basic blocks.
Beijing Tongtech Co., Ltd.

Web shell detection

Methods and systems for identifying malicious applications and, more particularly, to identifying web shell applications. Embodiments described herein rely on machine learning tools to analyze static and dynamic features of a suspected file to determine whether the file is a web shell application..
Rapid7, Inc.

Method and information retrieval

This disclosure relates to methods and apparatus for generating criteria for information retrieval tasks. A quantifying unit is trained through machine learning to assign relevance values to functional brain imaging potentials measured from a person.
Helsingin Yliopisto

Discovering media content using natural language processing and machine learning

Embodiments are directed to a computer implemented method of analyzing media files to improve the presentation of media files to users. The method includes using a processor to analyze a set of media files.
International Business Machines Corporation

Method and system for adaptively imputing sparse and missing data for predictive models

Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels.
Oracle International Corporation

Method and system for cleansing training data for predictive models

Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set of specific data indicators where these data indicators correspond to metrics that end users are familiar with and are easily understood by ordinary users and dbas within their knowledge domain. Selection of these indicators would correlate automatically to selection of a corresponding set of other metrics/signals that are less understandable to an ordinary user.
Oracle International Corporation

Resource allocation in distributed processing systems

A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units.
Pearson Education, Inc.

Task assignment using machine learning and information retrieval

An example method of assigning a task to a developer includes partitioning, based on a first set of developer attributes, a list of developers into a plurality of developer clusters. The method also includes for a plurality of tasks, identifying a set of developers assigned to the respective task, identifying a developer cluster including a greater number of developers from the respective set of developers than another developer cluster, and classifying the respective task as belonging to the respective developer cluster.
Red Hat Israel, Ltd.

Machine learning device, robot system, and machine learning learning operation program of robot

A machine learning device, which learns an operation program of a robot, includes a state observation unit which observes as a state variable at least one of a shaking of an arm of the robot and a length of an operation trajectory of the arm of the robot; a determination data obtaining unit which obtains as determination data a cycle time in which the robot performs processing; and a learning unit which learns the operation program of the robot based on an output of the state observation unit and an output of the determination data obtaining unit.. .
Fanuc Corporation

Cognitive mobile device

A method and system for cognitively controlling a mobile having mobile elements controllable by a mobile stimulation pattern. Sensor data is captured from sensors detecting reactions of a baby in proximity to the mobile to a first mobile stimulation pattern and audio/video data is captured from a video camera recording reactions of the baby in proximity to the mobile.
International Business Machines Corporation

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points..
Heartflow, Inc.

User profile selection using contextual authentication

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that are associated with user profile selection using contextual authentication. In various embodiments, a first user of a computing device may be authenticated and have an access control state corresponding to a first user profile established, the computing device may select a second user profile based at least in part a changed user characteristic, and the computing device may present a resource based at least in part on the second user profile.
Intel Corporation

Systems and methods for hybrid swarm intelligence

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A hybrid swarm intelligence system includes a central collaboration server, a plurality of computing devices in communication with the central server, and an agent application in communication with the central server.
Unanimous A. I., Inc.

Measurement measuring multi-dimensions

Measurement system and method for measuring multi-dimensions of an object are provided. A two-dimensional (2d) image capturing device captures at least one macro-2d image of the object.
Industrial Technology Research Institute

Tissue characterization based on machine learning in medical imaging

Tissue is characterized using machine-learnt classification. The prognosis, diagnosis or evidence in the form of a similar case is found by machine-learnt classification from features extracted from frames of medical scan data.
The Johns Hopkins University

Sales promotion processing system and sales promotion processing program

A sales promotion processing device according to an embodiment includes an input device, a display device, a communication interface, and a processor. The input device receives input of one or more criteria for a planned sales promotion.
Toshiba Tec Kabushiki Kaisha

Method and system for training a machine learning algorithm

A method of training a machine learning algorithm, the method comprising: generating a training set for training the mla, the training set comprising a plurality of feature vectors and respectively associated estimation errors, the generating comprises: generating the plurality of feature vectors based on history data associated with an industrial process; identifying a respective value of a target process feature within each feature vector; computing a regression function; determining an estimated outcome value for each respective value of the target process feature based on the regression function; and computing the estimation error for each feature vector based on the respectively associated outcome value and the respectively associated estimated outcome value. The method also comprises training the mla based on the training set for predicting the respective estimation error for each feature vector, the training the mla comprises inputting each feature vector and the respectively associated estimation error into the mla..
Yandex Europe Ag

Feature extraction and machine learning for evaluation of media-rich coursework

Conventional techniques for automatically evaluating and grading assignments are generally ill-suited to evaluation of coursework submitted in media-rich form. For courses whose subject includes programming, signal processing or other functionally expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited.
Kadenze, Inc.

Automated system for development and deployment of heterogeneous predictive models

A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse.
Infosys Limited

Training a machine learning model for analysis of instruction sequences

In one respect, there is provided a system for training a neural network adapted for classifying one or more instruction sequences. The system may include at least one processor and at least one memory.
Cylance Inc.

Machine learning model for analysis of instruction sequences

In one respect, there is provided a system for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory.
Cylance Inc.

Innovative anti-bullying approach using emotional and behavioral information from mixed worlds

Examples of the disclosure provide for calibrating a virtual reality environment based on data input in response to initial calibration prompts to provide a customized detection phase for a behavior analysis session. User interaction data are received during the customized detection phase and is dynamically pushed through a trained machine learning component to generate a dynamic behavior vector for the behavior analysis session, the dynamic behavior vector updating during the customized detection phase.

Automatically assessing the mental state of a user via drawing pattern detection and machine learning

A method and system for automatically assessing the mental state of a user from a drawing made by the user. The mental state of the user is automatically assessed by digitizing a drawing and determining and analyzing drawing characteristics, including color, objects, and location.
International Business Machines Corporation

Automated model development process

An automated model development tool can be used for automatically developing a model (e.g., an analytical model). The automated model development tool can perform various automated operations for automatically developing the model including, for example, performing automated operations on variables in a data set that can be used to develop the model.
Equifax, Inc.

Method and training a machine learning algorithm (mla) for generating a content recommendation in a recommendation system and generating the recommended content using the mla

A method of training machine learning algorithm for selecting recommended content for a user of an electronic device is provided. The method is executable by a recommendation server accessible by the electronic device via a communication network, the recommendation server executing the machine learning algorithm, once trained.
Yandex Europe Ag

Metabolomics profiling of central nervous system injury

A method of diagnosing central nervous system injuries such as acquired brain injury (abi) and/or acquired spinal cord injury (asi), including mild tbi (concussion or blast wave), mild asi (contusion, stretch or partial cord transection), non-tbi brain injury and/or non-tsi spinal cord injury in a subject (animal or human). The method includes (a) obtaining a biological test sample from the subject, identifying metabolites in the subject's sample using metabolomics thereby obtaining a subject's metabolite matrix and generating a subject's profile using the patient's metabolite matrix; and (b) using multivariate statistical analysis and machine learning to compare the subject's profile with predetermined set of profiles of cns injuries and a predetermined set of profiles of controls to determine if the subject has a cns injury..
London Health Sciences Centre Research Inc.

Identity resolution in data intake of a distributed data processing system

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics.
Splunk Inc.

Computer user authentication using machine learning

Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user.
Cylance Inc.

User profile selection using contextual authentication

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that are associated with user profile selection using contextual authentication. In various embodiments, a first user of a computing device may be authenticated and have an access control state corresponding to a first user profile established, the computing device may select a second user profile based at least in part a changed user characteristic, and the computing device may present a resource based at least in part on the second user profile.
Intel Corporation

Agile team structure and processes recommendation

Automatically learning and providing software development team structure and methodologies. A software development knowledgebase repository is generated by mining for software processes data over a network of computer systems.
International Business Machines Corporation

Methods of optimizing carrier loads transported across a transportation network by transport carriers

A carrier load optimization for shippers whereby a set of preferred carriers is placed under contract or committed to certain standard rate for any route or point to point delivery lane, and a supplemental or open set of carriers are authorized for deliveries in a particular lane, based on ad-hoc spot pricing and spot price negotiation. Carrier tender offers are submitted in two processing stages; first simultaneously under a standard or contract rate, and secondly if no shipper responses are accepted or a time deadline is reached, then subsequent tenders are released and updated in accordance with the dynamic spot pricing optimization logic of the preferred solution.
Ust Global (singapore) Pte. Ltd.

Systems and methods for care program selection utilizing machine learning techniques

Systems, methods, apparatuses and computer program products are provided for monitoring and managing patient health conditions. Information is stored for defining care channels corresponding to health categories which are utilized to classify patients based on health status and risk information.
Eclinicalworks, Llc

Methods and machine learning systems for predicting the likelihood or risk of having cancer

Embodiments of the present invention relate generally to non-invasive methods and tests that measure biomarkers (e.g., tumor antigens) and collect clinical parameters from patients, and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, a classifier is generated using a machine learning system based on training data from retrospective data and subset of inputs (e.g.
20/20 Gene Systems, Inc.

Similarity search using polysemous codes

In one embodiment, a method includes receiving a query, wherein the query is represented by an n-dimensional vector in an n-dimensional vector space; quantizing the vector representing the query using a quantizer, wherein the quantized vector corresponds to a polysemous code, and wherein the quantizer has been trained by machine learning to determine polysemous codes such that the hamming distance approximates the inter-centroid distance using an objective function; calculating, for each of a plurality of content objects, a hamming distance between the polysemous code corresponding to the vector representing the query and a polysemous code corresponding to a quantized vector representing the content object; and determining that a content object of the plurality of content objects is an approximate nearest neighbor to the query based on determining that the calculated hamming distance is less than a threshold amount.. .
Facebook, Inc.

Automated document filing and processing methods and systems

Systems, methods and computer program products for automatically ingesting and filing documents in a database having a plurality of file locations. An electronic file having one or more documents is received.
Futurevault Inc.

System and inferencing of data transformations through pattern decomposition

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide a service to recommend actions and transformations, on an input data, based on patterns identified from the functional decomposition of a data flow for a software application, including determining possible transformations of the data flow in subsequent applications.
Oracle International Corporation

Storage devices including nonvolatile memory devices and access methods for nonvolatile memory devices

A storage device may include a nonvolatile memory device, a buffer memory, and a controller. The controller may perform first accesses on the nonvolatile memory device using the buffer memory, collect access result information and access environment information of the first accesses in the buffer memory, and generate an access classifier that predicts a result of a second access to the nonvolatile memory device by performing machine learning based on the access result information and the access environment information collected in the buffer memory..

Deep machine learning to perform touch motion prediction

The present disclosure provides systems and methods that leverage machine learning to perform user input motion prediction. In particular, the systems and methods of the present disclosure can include and use a machine-learned motion prediction model that is trained to receive motion data indicative of motion of a user input object and, in response to receipt of the motion data, output predicted future locations of the user input object.
Google Inc.

Numerical controller

A numerical controller which controls a machine tool acquires tool information including a shape of a tool, a machining condition in machining, and information related to a machining result of a workpiece after machining. A machine learning device performs machine learning on tendency of the information related to a machining result with respect to the tool information and the machining condition based on the tool information and the machining condition used as input data and based on the information related to a machining result used as teacher data, so as to construct a learning model.
Fanuc Corporation

Systems and methods for prevention of surgical mistakes

An apparatus, system and process for guiding a surgeon during a medical procedure to prevent surgical mistakes are described. The system may include a machine learning medical procedure server that generates one or more machine learning medical procedure models using, at least, medical procedure data captured during medical procedures performed at a plurality of different medical procedure systems.
Verily Life Sciences Llc

Device and sequential posture identification and autonomic function information acquisition

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted.
Nippon Telegraph And Telephone Corporation

Machine learning based real-time radiation dose assessment

A computer-implemented method for performing radiation dose assessment includes acquiring a plurality of parameters related to an image scanner configured to apply a heat or radiation dose to a subject during imaging. A plurality of features is extracted from the plurality of parameters.
Siemens Healthcare Gmbh

Machine learning techniques for processing tag-based representations of sequential interaction events

Methods and systems are provided for processing tag-based event communications using machine learning. One or more event communications are received from a user device.
Oracle International Corporation

Clustering approach for detecting ddos botnets on the cloud from ipfix data

Use machine learning to train a classifier to classify entities to increase confidence with respect to an entity being part of a distributed denial of service attack. The method includes training a classifier to use a first classification method, to identify probabilities that entities from a set of entities are performing denial of service attacks.
Microsoft Technology Licensing, Llc

Container file analysis using machine learning model

In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory.
Cylance Inc.

Automated cephalometric analysis using machine learning

A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks.
Cephx Technologies Ltd.

Automated generative multimodel multiclass classification and similarity analysis using machine learning

Under one aspect, a computer-implemented method includes receiving a query at a query interface about whether a computer file comprises malicious code. It is determined, using at least one machine learning sub model corresponding to a type of the computer file, whether the computer file comprises malicious code.
Cylance Inc.

Data annotation enhanced machine learning

A data annotation apparatus for machine learning is provided, which includes a stimulus generation portion, a biometrics reading portion, and a data integration portion. The stimulus generation portion is configured to generate, and present to an agent, at least one stimulus based on a first data from a first machine learning dataset.
Cloudminds Technology, Inc.

Anticipating user dissatisfaction via machine learning

A server of a transportation network determines characteristics of trips provided to users, as well as the usage of the services by users. Using the determined characteristics, the server trains a model that, for a given set of trips for a user, estimates a degree of likely user dissatisfaction with the trips.
Uber Technologies, Inc.

Content generation and targeting using machine learning

A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated.
Linkedln Corporation

Physics modeling for radar and ultrasonic sensors

A machine learning module may generate a probability distribution from training data including labeled modeling data correlated with reflection data. Modeling data may include data from a lidar system, camera, and/or a gps for a target environment/object.
Ford Global Technologies, Llc

Machine learning method and apparatus based on weakly supervised learning

Provided are a machine learning method based on weakly supervised learning includes extracting feature maps about a dataset given a first type of information and not given a second type of information by using a convolutional neural network (cnn), updating the cnn by back-propagating a first error value calculated as a result of performing a task corresponding to the first type of information by using a first model, and updating the cnn by back-propagating a second error value calculated as a result of performing the task corresponding to the first type of information by using a second model different from the first model, wherein the second type of information is extracted when the task corresponding to the first type of information is performed using the second model.. .
Lunit Inc.

Method and device for detecting and evaluating environmental influences and road condition information in the vehicle surroundings

A method for detecting and evaluating environmental influences and road condition information in the surroundings of a vehicle. At least two digital images are generated in a successive manner using a camera, and the same image section is selected on each image.
Continental Teves Ag & Co. Ohg

Machine learning for attack mitigation in virtual machines

A computer implemented method to mitigate a security attack against a target virtual machine (vm) in a virtualized computing environment, the target vm having a target vm configuration including configuration parameters, and the security attack exhibiting a particular attack characteristic, is disclosed.. .
British Telecommunications Public Limited Company

Training a machine learning model for container file analysis

In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory.
Cylance Inc.

Detecting malicious code in sections of computer files

A training data set for training a machine learning module is prepared by dividing normal files and malicious files into sections. Each section of a normal file is labeled as normal.
Trend Micro Incorporated

System and medical imaging informatics peer review system

Image processing engines can be utilized to inject studies into other commercial or independently-developed peer review systems which are designed to review the medical findings identified by a set of physicians. Image processing engines detect, confirm or verify findings by physicians or other engines, where the engines operate as peer reviewers.

Method for predicting therapeutic efficacy of combined drug by machine learning ensemble model

A method of predicting therapeutic efficacy of a combined drug is provided. The method of predicting therapeutic efficacy of a combined drug can be useful in efficiently predicting therapeutic efficacy of the combined drug on cells by establishing and learning data through a computer using data on cells, data on individual drugs, and data on reaction between the cells and the individual drugs..
Standigm

Interpreting genomic results and providing targeted treatment options in cancer patients

A method for creating a clinical interpretation and recommendation for treatment of a cancer patient is disclosed. The method may include generating sequence of dna, rna, cdna, or protein obtained from the patient's tumor or cancer cells.
Intermountain Invention Management, Llc

Method and system for predicting task completion of a time period based on task completion rates of prior time periods using machine learning

A request is received from a client for determining task completion of a first set of tasks associated with attributes, the first set of tasks scheduled to be performed within a first time period. For each of the attributes, a completion rate of one or more of a second set of tasks is calculated that are associated with the attribute.
Clari Inc.

Machine learning to facilitate incremental static program analysis

Techniques for facilitating incremental static program analysis based on machine learning techniques are provided. In one example, a system comprises a feature component that, in response to an update to a computer program, generates feature vector data representing the update, wherein the feature vector data comprises feature data representing a feature of the update derived from an abstract state of the computer program, and wherein the abstract state is based on a mathematical model of the computer program that is generated in response to static program analysis of the computer program.
International Business Machines Corporation

Using machine learning to optimize minimal sets of an application

Described embodiments provide ways to optimize application minimal sets based on the behavior of users. Described embodiments further provide ways to produce a minimal set that is optimized based on various attributes regarding the target endpoint onto which the minimal set is to be deployed, such as the target endpoint's operating system, applications installed on the target endpoint, hardware on the target endpoint, or profile information regarding the target endpoint's user.
Vmware, Inc.

Cell control system

A cell control system capable of estimating a cause of an alarm by estimating an influence of noise in a plurality of machines includes a machine operation instruction unit for transmitting an operation instruction to a managed manufacturing machine, a noise value collection unit for collecting detected noise information, an operation information collection unit for collecting operation information of a manufacturing machine, a learning unit for creating a learning model by performing machine learning using the collected operation information collected as an input signal and the detected noise information as an instruction signal, an estimation unit for analyzing the learning model to estimate operation information corresponding to a noise factor, and an operation instruction change unit for instructing the machine operation instruction unit to change instruction content based on the operation information corresponding to the noise factor.. .
Fanuc Corporation

Real time machine vision and point-cloud analysis for remote sensing and vehicle control

Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps.
Solfice Research, Inc.

Machine learning device, robot system, and machine learning learning motion of robot engaged in task performed by human and robot in cooperate with each other

A machine learning device for learning a motion of a robot engaged in a task performed by a human and a robot in cooperation with each other, including a state observation unit that observes a state variable indicating a state of the robot when the human and the robot cooperate with each other and perform a task; a reward calculation unit that calculates a reward based on control data and the state variable for controlling the robot and on an action of the human; and a value function update unit that updates an action value function for controlling a motion of the robot, based on the reward and the state variable.. .
Fanuc Corporation

Model workflow control in a distributed computation system

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics.
Splunk Inc.

Digital image animation

Digital image animation techniques are described. In one example, animations are used for a single digital image to permit movement or other effects to be exhibited as part of the digital image without requiring multiple frames as in conventional techniques.
Adobe Systems Incorporated

System and end to end investment and portfolio management using machine driven analysis of the market against qualifying factors

Device, system, and method to perform analysis of asset values and factors, predict the future prices of assets, provide recommendations, and preform actions. A method may include analyzing and forecasting the performance of at least one asset against one or more impacting factors.
Noonum

System and real-time optimization and industry benchmarking for campaign management

A system for collecting brand awareness and advertising campaign performance results in real-time. Embodiments allow the system to adapt (e.g., machine learning) to target advertisements to users that are most likely to be influenced by exposure to a brand awareness advertising campaign, and present results, in real-time, via a data exchange for an advertiser to monitor performance and benchmark performance against similar campaigns across the industry..
Loopme Ltd

Individualized adaptation of driver action prediction models

By way of example, the technology disclosed by this document may be implemented in a method that includes aggregating local sensor data from vehicle system sensors, detecting a driver action using the local sensor data, and extracting features related to predicting driver action from the local sensor data during the operation of the vehicle. The method may include adapting a stock machine learning-based driver action prediction model to a customized machine learning-based driver action prediction model using one or more of the extracted features and the detected driver action, the stock machine learning-based driver action prediction model initially generated using a generic model configured to be applicable to a generalized driving populace.
Toyota Jidosha Kabushiki Kaisha

Method and system for innovation management and optimization under uncertainty

An integrated and comprehensive method and system is disclosed for management and optimization of innovation and associated processes under uncertainty. A first embodiment of the invention consists of a data mining and clustering module to compare a new innovation submission with existing internal and external entries and databases, identify similarities and group similar entries together.

Distributed event prediction and machine learning object recognition system

A computing device predicts occurrence of an event or classifies an object using distributed unlabeled data. Supervised data that includes a labeled subset of a plurality of observation vectors is identified.
Sas Institute Inc.

Gesture masking in a video feed

Various systems and methods for processing video data, including gesture masking in a video feed, are provided herein. The system can include a camera system interface to receive video data from a camera system; a gesture detection unit to determine a gesture within the video data, the gesture being performed by a user; a permission module to determine a masking permission associated with the gesture; and a video processor.
Intel Corporation

Attack assessment in a virtualized computing environment

A computer implemented method to determine whether a target virtual machine (vm) in a virtualized computing environment is susceptible to a security attack, the method comprising: training a machine learning algorithm as a classifier based on a plurality of training data items, each training data item corresponding to a training vm and including a representation of parameters for a configuration of the training vm and a representation of characteristics of security attacks for the training vm; generating a data structure for storing one or more relationships between vm configuration parameters and attack characteristics, wherein the data structure is generated by sampling the trained machine learning algorithm to identify the relationships; determining a set of configuration parameters for the target vm; and identifying attack characteristics in the data structure associated with configuration parameters of the target vm as characteristics of attacks to which the target vm is susceptible.. .
British Telecommunications Public Limited Company

System and dynamic, incremental recommendations within real-time visual simulation

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can include a software development component and graphical user interface, referred to herein in some embodiments as a pipeline editor, or lambda studio ide, that provides a visual environment for use with the system, including providing real-time recommendations for performing semantic actions on data accessed from an input hub, based on an understanding of the meaning or semantics associated with the data..
Oracle International Corporation

System and automated mapping of data types for use with dataflow environments

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide support for auto-mapping of complex data structures, datasets or entities, between one or more sources or targets of data, referred to herein in some embodiments as hubs.
Oracle International Corporation

System and dynamic lineage tracking, reconstruction, and lifecycle management

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide data governance functionality such as, for example, provenance (where a particular data came from), lineage (how the data was acquired/processed), security (who was responsible for the data), classification (what is the data about), impact (how impactful is the data to a business), retention (how long should the data live), and validity (whether the data should be excluded/included for analysis/processing), for each slice of data pertinent to a particular snapshot in time; which can then be used in making lifecycle decisions and dataflow recommendations..
Oracle International Corporation

System and ontology induction through statistical profiling and reference schema matching

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can perform an ontology analysis of a schema definition, to determine the types of data, and datasets or entities, associated with that schema; and generate, or update, a model from a reference schema that includes an ontology defined based on relationships between datasets or entities, and their attributes.
Oracle International Corporation

System and metadata-driven external interface generation of application programming interfaces

In accordance with various embodiments, described herein is a system (data artificial intelligence system, data ai system), for use with a data integration or other computing environment, that leverages machine learning (ml, dataflow machine learning, dfml), for use in managing a flow of data (dataflow, df), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system provides a programmatic interface, referred to herein in some embodiments as a foreign function interface, by which a user or third-party can define a service, functional and business types, semantic actions, and patterns or predefined complex data flows based on functional and business types, in a declarative manner, to extend the functionality of the system..
Oracle International Corporation

Decomposing composite product reviews

One or more processors deconstruct, by utilizing natural language processing (nlp), a text product review into multiple n-grams, where each of the multiple n-grams is a sequence of words from the text product review, and where each of the multiple n-grams is a review of a particular component from the multiple components of the product. The processor(s) generate a component numeric rating value (cnrv) for each of the multiple n-grams using machine learning techniques such as collaborative filtering, and store cnrvs for the multiple components of the product together with identifiers of particular components of the product.
International Business Machines Corporation

Optimized resource metering in a multi tenanted distributed file system

A method and system for automatically metering a distributed file system node is provided. The method includes receiving data associated with jobs for execution via a distributed file system.
International Business Machines Corporation

Model-based method and system to detect heat exchanger fouling

A computer-implemented method, environmental control system (ecs) for an aircraft, and system are provided. Air temperatures at the inlet and outlet of a ram air duct for an ecs are measured.
The Boeing Company

Enhanced stethoscope devices and methods

An enhanced stethoscope device and method for operating the enhanced stethoscope are provided. The enhanced stethoscope device generally operates by providing stethoscope sensors, ultrasonic sensors, and other sensors to obtain a series of measurements about a subject.
California Institute Of Technology

Systems, apparatus, and methods for bit level representation for data processing and analytics

Systems, apparatuses, and methods provide various progressive, bit-level representations of digital data that are useful for a variety of systems and applications within the fields of machine learning, signal and data processing, and data analytics. Systems, apparatus, and methods for such representations incorporate one or more systems for machine learning, predicting, compressing and decompressing data, and are progressive such that the representations embody a sequential organization of information that prioritizes more information over less significant information.
Board Of Regents, The University Of Texas System

Method and providing goal oriented navigational directions

A method or system is able to refine global positioning system (“gps”) information for guiding a vehicle via extracted metadata using a gps refinement (“gr”) model managed by a virtuous cycle containing sensors, machine learning center (“mlc”), and a cloud based network (“cbn”). The gr system includes a set of outward facing cameras, a vehicle onboard computer (“voc”), and gr model.
Surround.io Corporation

Automatic correction of facial sentiment of portrait images

Techniques are disclosed for correcting facial sentiment of digital images. Facial data captured in a target image is analyzed to obtain facial-based sentiment.
Adobe Systems Incorporated

System and methods for aggregating past and predicting future product ratings

Embodiments of the invention can be utilized in multiple ways to assist in generating “predictions” with regards to the expected ratings or rankings of products or services. These predictions can then be used to inform consumers which products or services are expected to be reliable, good values, etc.
Ebay Inc.

Optimized machine learning system

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing machine learning systems. In one aspect a method includes determining an average error of a machine learning system (“mls”).
Google Inc.

Automated machine learning feature processing

Systems and methods for machine learning feature processing are disclosed. An example method includes: selecting a predefined number of machine-based transactions; identifying a first set of features based on the predefined number of machine-based transactions; and applying a machine learning feature selection algorithm to identify a second set of features.
Paypal, Inc.

System and ground truth evaluation

A method for ground truth generation includes providing training questions to a machine learning system executing on a computer. The machine learning system generates candidate answers to each of the training questions.
International Business Machines Corporation

Warning filter based on machine learning

Techniques for generating a warning filter to filter the warnings output from a static program analysis tool are provided. In one example, a computer-implemented method comprises determining feature vector data for a set of warnings, wherein the set of warnings is generated in response to static analysis of a computer program, and wherein the feature vector data comprises a feature vector indicative of an attribute of a warning of the set of warnings.
International Business Machines Corporation

Aggregate features for machine learning

An example system includes a memory store of aggregate definitions. Each aggregate definition specifies a key value, an output store, a feature, a half-life value, and an aggregate operation metric to apply to a cross of the feature and the half-life value to generate aggregate metrics.
Twitter, Inc.

Deep machine learning to predict and prevent adverse conditions at structural assets

The present disclosure provides systems and methods that use machine-learned models, such as deep neural networks, to predict and prevent adverse conditions at structural assets. One example method includes obtaining data descriptive of a plurality of images that depict at least a portion of a geographic area that contains a first structural asset.
Google Inc.

Active rfid-based real time location systems

A computer-implemented method includes identifying one or more tag readers. The one or more of tag readers are positioned peripherally to a region.
International Business Machines Corporation

Method and providing driver information via audio and video metadata extraction

A method and/or system is able to provide driver fingerprint via metadata extraction managed by a driver rating (“dr”) model trained by a machine learning center (“mlc”) coupled to a cloud based network (“cbn”). In one embodiment, a dr system includes a set of outward facing cameras, a set of inward facing cameras, and a vehicle onboard computer (“voc”).
Surround.io Corporation

Method and providing information via collected and stored metadata using inferred attentional model

A method and/or system is able to improve vehicle safety via metadata extraction by an inferred attentional (“ia”) model trained by a virtuous cycle containing sensors, machine learning center (“mlc”), and cloud based network (“cbn”). In one aspect, the system includes a set of outward facing camera, inward facing cameras, and vehicle onboard computer (“voc”).
Surround.io Corporation

Parallel processing apparatus and job management method

A parallel processing apparatus includes a plurality of calculation processors configured to execute a job, a memory configured to store information of an executed job before a target job is submitted, an execution exit code of the executed job, the target job, a submitted job before the target job is submitted, and a time difference between a timing of an immediately preceding event of the target job and a timing of submitting the target job, and a management processor coupled to the memory and configured to predict a period to a timing of submitting a next job and a necessity number of the calculation processors for calculating the next job by machine learning mechanism on the basis of the information stored in the memory when an event occurs, and control each of the calculation processors in accordance with the predicted period and the necessity number of the calculation processors.. .
Fujitsu Limited

Detecting scripted or otherwise anomalous interactions with social media platform

A computer system receives an account creation request for a social media platform created and sent using a frontend component. An application programming interface (api) call sequence associated with the account creation request is received from the frontend component.
Twitter, Inc.

Machine learning managing contacts in a messaging interface

A method for managing contacts in a messaging application includes displaying, by a client device executing a messaging application, a list of a plurality conversations associated with the client device, determining, by the client device, an amount of time that the messaging application has been in use, displaying, by the client device and based on a rating value, a particular conversation from the list using a different appearance from other conversations of the list, wherein the rating value is based in part on the amount of time.. .
Atlassian Pty Ltd

Operation management system having sensor and machine learning unit

An operation management system includes a sensor for obtaining data on an operator and a cell control device connected to the sensor. The cell control device includes a sensor management unit for managing information from the sensor; an operator monitor unit for monitoring at least one of the motion amount and condition amount of the operator; a learning unit for learning at least one of the degrees of fatigue, proficiency, and interest of the operator; and a notification management unit that transmits condition information including at least one of the degrees of fatigue, proficiency, and interest of the operator, when receiving a condition notification request from a host management unit, and that receives an operation details change notification and transfers the operation details change notification to the operator, or that transmits the condition information to the operator, when receiving a condition notification request from the operator..
Fanuc Corporation

Prediction in building automation

Degraded or other performance may be predicted with a machine-learnt classifier. Based on operation of many building automation systems, machine learning is applied.
Siemens Industry, Inc.

Automated full-chip design space sampling using unsupervised machine learning

An illustrative method includes reading in a layout as current layout to be analyzed, splitting the current layout into n sub-layouts, where n is a positive integer, such that each sub-layout fits into a predetermined memory, performing a clustering step for each of the sub-layouts, including scanning the respective sub-layout for features and converting each sub-layout into a set of feature vectors defining individual patterns, searching each set of feature vectors for clusters having predetermined cluster parameters, and selecting m characteristic representatives of patterns from each cluster, where m is a positive integer, merging the characteristic representatives of each of the n sub-layouts into a new single layout, searching the characteristic representatives discovered for the individual sub-layouts for clusters having predetermined cluster parameters, selecting m characteristic representatives of patterns from each cluster, where m is a positive integer, and outputting the characteristic representatives of patterns.. .
Globalfoundries Inc.

Container fill level indication system using a machine learning algorithm

A liquid container refill management system including a machine learning algorithm and method of training the same, the system and method making use of noninvasive tank-in-tank measuring techniques. The system can comprise of a container fill level indicator.
Sonicu, Llc

Bearing diagnostic device

A bearing diagnostic device includes an identification unit and an obtaining unit. The identification unit is configured such that a feature quantity, an operation condition of a main spindle at a measurement of the feature quantity, and specification data of the bearing used for the main spindle are preliminarily configured as inputs.
Okuma Corporation

Method and system for synthesizing virtual high dose or high kv computed tomography images from low dose or low kv computed tomography images

A method and apparatus for medical image synthesis is disclosed, which synthesizes a target medical image based on a source medical image. The method can be used for synthesizing a high dose computed tomography (ct) image or a high kv ct image from a low dose ct image or a low kv image.
Siemens Healthcare Gmbh

Fast, continuous psychometric estimation system utilizing machine learning and associated use

A method and system for of computerized psychometric testing of sensory information that includes selecting stimulus parameters for a first stimulus to be applied with a stimulus inducer, applying a first stimulus on a subject with the stimulus inducer upon command of a processor, calculating a posterior probability function and an acquisition function at least based on the subject's response to the first stimulus with the processor, determining stimulus parameters for a second stimulus based on the calculated acquisition function with the processor, stimulating the subject with the second stimulus with the stimulus inducer upon command of the processor, and determining a detection threshold function by calculating the posterior probability function at least based on the subject's response to the second stimulus with the processor.. .
Washington University

Active airborne noise abatement

Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises.
Amazon Technologies, Inc.

Creative score for online content

An online system provides feedback to a content provider creating a content item for a target audience. The feedback may include a score, recommendation, or error notification for a creative such as an image, video, or text to be included in the content item.
Facebook, Inc.

Recommendation system to enhance online content creation

An online system provides feedback to a content provider creating a content item for a target audience. The feedback may include a score, recommendation, or error notification for a creative such as an image, video, or text to be included in the content item.
Facebook, Inc.

Machine learning techniques for providing enriched root causes based on machine-generated data

A method and system for providing an enriched root cause of an incident using machine-generated textual data. The method includes extracting, from a dataset including machine-generated textual data for a monitored environment, a plurality of features related to a root cause of an incident in the monitored environment; generating a suitability score for each of a plurality of insights with respect to the incident based on the extracted features and a suitability model, wherein the suitability model is created based on a training set including a plurality of training inputs and a plurality of training outputs, wherein each training output corresponds to at least one of the plurality of training inputs; and selecting at least one suitable insight based on the generated suitability scores..
Loom Systems Ltd.

Method and system of selecting training features for a machine learning algorithm

Methods and systems for selecting a selected-sub-set of features from a plurality of features for training a machine learning module, the training of the machine learning module to enable classification of an electronic document to a target label, the plurality of features associated with the electronic document. In one embodiment, the method comprises analyzing a given training document to extract the plurality of features, and for a given not-yet-selected feature of the plurality of features: generating a set of relevance parameters iteratively, generating a set of redundancy parameters iteratively and determining a feature significance score based on the set of relevance parameters and the set of redundancy parameters.
Yandex Europe Ag

Document structure extraction using machine learning

The structure of an untagged document can be derived using a predictive model that is trained in a supervised learning framework based on a corpus of tagged training documents. Analyzing the training documents results in a plurality of document part feature vectors, each of which correlates a category defining a document part (for example, “title” or “body paragraph”) with one or more feature-value pairs (for example, “font=arial” or “alignment=centered”).
Adobe Systems Incorporated

Adaptive knowledge base construction method and system

Provided are an adaptive knowledge base construction system and method. The adaptive knowledge base construction system includes a machine learning engine analyzing a correlation between pieces of data included in a first data set in a process of learning the first data set input thereto, based on machine learning, a rule generator generating a rule based on the machine learning by using an analysis result obtained by analyzing the correlation, and a semantic rule generator generating a semantic rule from the rule based on the machine learning by using a language expressing ontology, and reflecting the generated semantic rule in a knowledge base to extend the knowledge base..
Electronics And Telecommunications Research Institute

Ensemble-based research recommendation systems and methods

A machine learning engine is presented. The disclosed recommendation engine generates an ensemble of trained machine learning models that are trained on known genomic data sets and corresponding known clinical outcome data sets.
Nantomics, Llc

Anomaly detection system and method

An acoustic array system for anomaly detection is provided. The acoustic array system (100) performs a scan (or a progressive scan of frequencies) of a given volume by transmitting one or more signals, and receives one or more reflected signals from objects within the volume.
Tata Consultancy Services Limited

Method and an separating at least one object from a plurality of objects

Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked.
Zenrobotics Oy

Network configuration for software defined network via machine learning

A method, computer-readable medium, and apparatus for configuring a software defined network via machine learning are disclosed. For example, a method may generate a first policy for a first service by a first policy model using machine learning for processing first data of the first service, the first service being implement by at least one first virtual component of a software defined network, determine whether the first policy is to be applied to a second service, the second service being implement by at least one second virtual component of the software defined network, apply the first policy to the second service when the first policy is deemed to be applicable to the second service, generate a second policy for the second service, and implement the second policy in the second service, wherein the first service and the second service are provided by a single service provider..
At&t Intellectual Property I, L.p.

Optimization of multiple services via machine learning

A method, computer-readable medium, and apparatus for modeling data of a service for providing a policy are disclosed. For example, a method may include a processor for generating a first policy for a first service by a first policy model using machine learning for processing first data of the first service, determining whether the first policy is to be applied to a second service, applying the first policy to the second service when the first policy is deemed to be applicable to the second service, wherein the applying the first policy provides the first policy to a second policy model using machine learning for processing second data of the second service, generating a second policy for the second service, and implementing the second policy in the second service, wherein the first service and the second service are provided by a single service provider..
At&t Intellectual Property I, L.p.

Applying machine learning to heterogeneous data of existing services to generate a new service

A method, computer-readable medium, and apparatus for modeling data of a plurality of services for providing a new service are disclosed. For example, a method may include a processor for generating a first policy from a first service by a first policy model using machine learning for processing first data of the first service, generating a second policy from a second service by a second policy model using machine learning for processing second data of the second service, wherein the first service and the second service are different, and implementing one or more functions for a new service using the first policy and the second policy..
At&t Intellectual Property I, L.p.

Automated machine learning scheme for software exploit prediction

A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models.
Booz Allen Hamilton Inc.

Systems and methods to predict resource availability

Systems and methods to predict availability of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data.
Westfield Retail Solutions, Inc.

Diagnostic engine and classifier for discovery of behavioral and other clusters relating to entity relationships to enhance derandomized entity behavior identification and classification

Embodiments of a system and methods therefor including an optimized classifier builder and diagnostic engine that derandomizes event data for atypical yet coordinated behavior of actors that appears random to conventional predictors. The system is configured to diagnose and build artificial intelligence and machine learning classifiers that identify, differentiate and predict behaviors for entities and groups of entities that can be masked by conventional predictive classification..
The Dun & Bradstreet Corporation

Transmitting machine learning models to edge devices for edge analytics

Disclosed is a technique that can be performed by a server computer system. The technique can include executing a machine learning process to generate a machine learning model based on global data collected from one or more electronic devices, wherein the machine learning model is described by model data.
Splunk Inc.

Machine learning data analysis system and method

A computer-implemented method, computer program product and computing system for defining a model that includes a plurality of variables. At least one variable of the plurality of variables is conditioned based, at least in part, upon a conditioning command received from a user, thus defining a conditioned variable.
Gamalon, Inc.

Machine learning data analysis system and method

A computer-implemented method, computer program product and computing system for receiving a first piece of content that has a first structure and includes a first plurality of items. A second piece of content is received that has a second structure and includes a second plurality of items.
Gamalon, Inc.

Machine learning in edge analytics

Disclosed is a technique that can be performed by an electronic device. The technique can include generating raw data based on inputs to the electronic device, and sending the raw data or data items over a network to a server computer system.
Splunk Inc.

Adaptive metric pruning

A system for providing adaptive metric pruning includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: receive, by a collector, metadata associated with the business transaction running in a monitored environment; train a machine learning system by providing training data and an anticipated result for the training data to the machine learning system to generate rules for retaining given metadata; predict a retention requirement for the received metadata by providing the received metadata to the machine learning system to apply the generated rules and generate a result for retaining the received metadata; and provide a user interface to display the generated result for retaining the received metadata including a recommendation on how to retain the received metadata according to the result for retaining the received metadata.. .
Appdynamics Llc

Adaptive anomaly grouping

In one aspect, a machine learning system for performing anomaly grouping is disclosed. The machine learning system includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: receive stack traces associated with corresponding anomaly events; automatically generate initial rules for grouping the anomaly events responsive to the received stack traces; apply the generated initial rules to the anomaly events; receive additional stack traces, user input, or both; update the initial rules based on the received additional stack traces, user input, or both; organize the anomaly events corresponding to the received stack traces and additional stack traces into one or more groups of anomaly events using the updated rules; and provide a user interface to display the one or more groups of anomaly events..
Appdynamics Llc

Generating training data for a conversational query response system

Training tuples including text and a question and answer corresponding to the text are input to a machine learning algorithm, such as a deep neural network. A q&a model is obtained that outputs questions and answers given an input text.
Ford Global Technologies, Llc

Systems and methods for comment sampling

Systems, methods, and non-transitory computer-readable media can receive a plurality of comments to a posted content item. Each of the plurality of comments is associated with at least one category of a plurality of categories based on a machine learning model.
Facebook, Inc.

Event clustering and classification with document embedding

Embedding representation for a document is generated based on clustering words in the document. Representative clusters are selected and weighted sum of the embeddings of the words in the selected clusters is determined as a document embedding.
International Business Machines Corporation

Method and system for improving content searching in a question and answer customer support system by using a crowd-machine learning hybrid predictive model

A method and system improves content searching in a question and answer customer support system by using a crowd-machine learning hybrid predictive model, according to one embodiment. The question and answer customer support system determines which customer support content to provide to users by using the hybrid predictive model, according to one embodiment.
Intuit Inc.

Systems and methods to perform machine learning with feedback consistency

The present disclosure provides systems and methods that enable training of an encoder model based on a decoder model that performs an inverse transformation relative to the encoder model. In one example, an encoder model can receive a first set of inputs and output a first set of outputs.
Google Inc.

Machine learning method, non-transitory computer-readable storage medium, and information processing apparatus

A machine learning method, using a neural network as a model, executed by a computer, the machine learning method including dividing a first batch data into a plurality of pieces of second batch data, the first batch data being a set of sample data to be input into the model in a machine learning, allocating the plurality of pieces of second batch data to a plurality of computers, the model having a specified layered structure and a specified parameter of the neural network being applied to the plurality of computers, making the plurality of computers to execute the machine learning based on the plurality of allocated second batch data, obtaining, from each of the plurality of computers, a plurality of correction amounts of the parameter derived by the executed machine learning, and correcting the model by modifying the specified parameter in accordance with the plurality of correction amounts.. .
Fujitsu Limited

Method and searching new material

A structure-generating method for generating a structure candidate of a new material including: by a structure-generating processor: performing machine learning on a machine learning model, wherein the machine learning model is configured to provide a result based on a descriptor of a material, a physical property of the material, and a structure of the material; and generating a structure candidate of the new material based on the result of the machine learning, wherein the new material has a target physical property, and wherein the descriptor of the material, the physical property of the material, and the structure of the material are stored in a database.. .
Samsung Electronics Co., Ltd.

File saving on geolocated polygons

A method comprising syncing, by a platform implemented by one or more processors, a plurality of computer files within an existing client data repository on a server to a specified geolocated polygons on a digital mapping interface, wherein the plurality of computer files are at least one of standalone computer files or computer files in a plurality of file directories; utilizing, by the platform, a geolocated polygon and attribute recommendation tool such that multiple embedded engines including (i) file directory and computer file property parsing to generate address or building name query strings to be processed through a machine learning gazetteer system; and (ii) optical character recognition to locate the address or building name query strings, to be processed through the machine learning gazetteer system, and keywords, processed into n-gram data structures to be cross-referenced against multiple internal or external keyword databases; and recommending, by the platform, geolocated polygons and geofile attributes, wherein all synced computer files are reviewed by a user and released to a geofile publication engine to be converted into a geofile and displayed on the digital mapping interface.. .
Lagonal, Inc.

Systems and methods for prioritizing notifications on mobile devices

Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying or emphasizing notifications based on the priority of a notification..
Google Llc

Aspect-based sentiment analysis using machine learning methods

Systems and methods for aspect-based sentiment analysis using machine learning methods. An example method comprises: performing, by a computer system, a syntactico-semantic analysis of at least part of a natural language text to produce a plurality of syntactico-semantic structures representing the part of the natural language text; interpreting the syntactico-semantic structures using a set of production rules to detect, within the part of the natural language text, at least one aspect term representing an aspect associated with a target entity; and evaluating, using one or more text characteristics produced by the syntactico-semantic analysis, a classifier function to determine a polarity associated with the aspect term..
Abbyy Infopoisk Llc

Aspect-based sentiment analysis and report generation using machine learning methods

Systems and methods for aspect-based sentiment analysis using machine learning methods. An example method comprises: receiving, by a computer system, a custom dictionary comprising a list of lexemes referencing at least one of: a target entity or an aspect associated with the target entity; performing, using the custom dictionary, a syntactico-semantic analysis of at least part of a natural language text to produce a plurality of syntactico-semantic structures representing the part of the natural language text; evaluating, using one or more text characteristics produced by the syntactico-semantic analysis, a classifier function to determine polarities associated with one or more aspect terms; and generating a report comprising the aspect terms and polarities of aspects referenced by the aspect terms..
Abbyy Infopoisk Llc

Natural interactive user interface using artificial intelligence and freeform input

In an example embodiment, first user input including handwriting input and non-alphanumeric symbolic input is detected. The non-alphanumeric symbolic input is input into a first machine learning model trained to output a set of possible actions corresponding to the non-alphanumeric symbolic input and a probability score assigned to each action in the set of possible actions.
Sap Se

System and disambiguating natural language processing requests

A system and method is provided of disambiguating natural language processing requests based on smart matching, request confirmations that are used until ambiguities are resolved, and machine learning. Smart matching may match entities (e.g., contact names, place names, etc.) based on user information such as call logs, user preferences, etc.

Predictive analytics on database wait events

In one aspect, a machine learning system for performing predictive analytics on database wait events is disclosed. The machine learning system includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: receive database wait event data indicative wait events associated with database calls running on a monitored database; receive database performance data indicative of performance of the monitored database; correlate the received database wait event data with the received database performance data to obtain a correlation result; predict a performance issue with the monitored database based on the correlation result; and provide a user interface to display the predicted performance issue..
Appdynamics Llc

Methods and systems for rendering user interface based on user context and persona

Embodiments herein provide a method and a system for rendering a ui of an application installed in an electronic device based on context of usage and persona of a user. Contextual parameters based on application usage and application session are aggregated, which are fed to a context awareness unit to determine a context.
Altimetrik Corp.

Machine learning navigational engine with imposed constraints

Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle..
Mobileye Vision Technologies Ltd.

Methods and systems for characterizing tissue of a subject utilizing a machine learning

Methods and systems for characterizing tissue of a subject include acquiring and receiving data for a plurality of time series of fluorescence images, identifying one or more attributes of the data relevant to a clinical characterization of the tissue, and categorizing the data into clusters based on the attributes such that the data in the same cluster are more similar to each other than the data in different clusters, wherein the clusters characterize the tissue. The methods and systems further include receiving data for a subject time series of fluorescence images, associating a respective cluster with each of a plurality of subregions in the subject time series of fluorescence images, and generating a subject spatial map based on the clusters for the plurality of subregions in the subject time series of fluorescence images.
Novadaq Technologies Inc.

Visualizing predicted customer bandwidth utilization based on utilization history

A method for providing a predicting bandwidth utilization for a customer of a connectivity service provider is disclosed. The method includes receiving bandwidth utilization data over time for a customer of a connectivity service provider.
Level 3 Communications, Llc

Graymail filtering-based on user preferences

A graymail detection and filtering system predicts whether a user will consider an email to be graymail using a classifier model based on features extracted from the email. The email is labelled as graymail or non-graymail based on the prediction.
Mcafee, Inc.

Machine learning device which learns current command for motor, motor controller, and machine learning method

A machine learning device which learns a current command for a motor, the machine learning device including a state observation unit which observes a state variable including a motor rotation speed or a motor torque command of the motor and at least one of a motor torque, a motor current, and a motor voltage of the motor; and a learning unit which learns the current command for the motor based on the state variable.. .
Fanuc Corporation

Systems and methods to prevent carwash collisions

Disclosed systems and methods prevent collisions in a carwash property. Disclosed systems and methods include software that brings together computer vision and machine learning algorithms to track the interaction of vehicles and equipment within the environment of a carwash to improve safety and optimize production..
Nopileups Llc

Fatigue control in dissemination of digital marketing content

Fatigue control techniques are described as part of dissemination of digital marketing content. In one example, a model is trained on marketing data using machine learning.
Adobe Systems Incorporated

Performance provisioning using machine learning based automated workload classification

Various aspects may include methods, computing devices implementing such methods, and non-transitory processor-readable media storing processor-executable instructions implementing such methods for improving battery life with performance provisioning using machine learning based automated workload classification. Various aspects may include creating a machine learning model based at least in part on computing device metrics, training the machine learning model using performance provisioning rules for work groups; classifying a new work item for a software application into a work group using the trained machine learning model, and applying resource provisioning rules for the work group to the new work item..
Qualcomm Incorporated

Using proxies to enable on-device machine learning

Systems and methods are disclosed for a server generating a plurality of proxy prediction models for each of a plurality of applications for use by client devices. Providing a prediction model based on a data distribution that more closely matches the user private data of the actual user of the client device, as opposed to a generic model, can improve the accuracy of predictions and improve the benefits to the user of the client device.
Apple Inc.

Generating sets of training programs for machine learning models

A method, system and computer program product for generating sets of training programs for machine learning models. Fixed values of one or more workload metrics are received from a user, where the workload metrics correspond to low-level program features which define particular low-level application behavior.
Board Of Regents, The University Of Texas System

Configurable machine learning assemblies for autonomous operation in personal devices

Configurable machine learning assemblies for autonomous operation in personal devices are provided. Example systems implement machine learning based on neural networks that draw low power for use in smart phones, watches, drones, automobiles, and medical devices.
Tessera Advanced Technologies, Inc.

Automated behavioral and static analysis using an instrumented sandbox and machine learning classification for mobile security

The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.. .
Veracode, Inc.

Performance provisioning using machine learning based automated workload classification

Various aspects may include methods, computing devices implementing such methods, and non-transitory processor-readable media storing processor-executable instructions implementing such methods for improving battery life with performance provisioning using machine learning based automated workload classification. Various aspects may include creating a machine learning model based at least in part on computing device metrics, training the machine learning model using performance provisioning rules for work groups; classifying a new work item for a software application into a work group using the trained machine learning model, and applying resource provisioning rules for the work group to the new work item..
Qualcomm Incorporated

Machine learning model construction device, numerical control, machine learning model construction method, and non-transitory computer readable medium encoded with a machine learning model construction program

Various neural network models are constructed flexibly on a. Learning circuit.
Fanuc Corporation

Smart playable flying disc and methods

This disclosure is directed to a smart playable flying disc and methods for determining associated motion parameters. The playable device may capture and transmit sensor data including motion data to a computing device.
Play Impossible Corporation

Early warning and recommendation system for the proactive management of wireless broadband networks

The present disclosure relates to an early warning and recommendation system for proactive management of a wireless broadband network. Without human intervention, the system processes highly heterogeneous network and non-network data and applies unsupervised machine learning to the data to predict and understand the situations that lead to different network state conditions.
Incelligent P.c.

Crowd-sourced technique for pitch track generation

Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications.
Smule, Inc.

Transforming projection data in tomography by means of machine learning

A method and system for transforming low-quality projection data into higher quality projection data, using of a machine learning model. Regions are extracted from an input projection image acquired, for example, at a reduced x-ray radiation dose (lower-dose), and pixel values in the region are entered into the machine learning model as input.

Machine learning of context of data fields for various document types

A method and system learns new forms to be incorporated into an electronic document preparation system. The method and system receive form data related to a new form having a plurality of data fields that expect data values based on specific functions.
Intuit Inc.

Churn prediction with machine learning

Disclosed is a churn prediction system that predicts with a high level of accuracy which users will and which users will not stop opening the app over a 30-day time period. To this end a model is created using historical event data where the churn-related behavior of each user is known.
Urban Airship, Inc.

Distributed machine learning systems, apparatus, and methods

A distributed, online machine learning system is presented. Contemplated systems include many private data servers, each having local private data.
Nant Holdings Ip, Llc.

Generating training data for machine learning

A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule.
International Business Machines Corporation

Apparatus and managing machine learning

A machine learning management apparatus identifies a maximum prediction performance score amongst a plurality of prediction performance scores corresponding to a plurality of models generated by executing each of a plurality of machine learning algorithms. As for a first machine learning algorithm having generated a model corresponding to the maximum prediction performance score, the machine learning management apparatus determines a first training dataset size to be used when the first machine learning algorithm is executed next time based on the maximum prediction performance score, first estimated prediction performance scores, and first estimated runtimes.
Fujitsu Limited

Apparatus and managing machine learning

A machine learning management apparatus identifies a maximum prediction performance score amongst a plurality of prediction performance scores corresponding to a plurality of models generated by executing each of a plurality of machine learning algorithms. As for a first machine learning algorithm having generated a model corresponding to the maximum prediction performance score, the machine learning management apparatus determines a first training dataset size to be used when the first machine learning algorithm is executed next time based on the maximum prediction performance score, first estimated prediction performance scores, and first estimated runtimes.
Fujitsu Limited

System and automatic learning of functions

A method and system learns functions to be associated with data fields of forms to be incorporated into an electronic document preparation system. The functions are essentially sets of operations required to calculate the data field.
Intuit Inc.

Selecting content items using reinforcement learning

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a machine learning model that has been trained through reinforcement learning to select a content item. One of the methods includes receiving first data characterizing a first context in which a first content item may be presented to a first user in a presentation environment; and providing the first data as input to a long-term engagement machine learning model, the model having been trained through reinforcement learning to: receive a plurality of inputs, and process each of the plurality of inputs to generate a respective engagement score for each input that represents a predicted, time-adjusted total number of selections by the respective user of future content items presented to the respective user in the presentation environment if the respective content item is presented in the respective context..
Google Inc.

Primary key-foriegn key relationship determination through machine learning

A method and a machine learning relationship determination system (mlrds) for determining primary key-foreign key (pk-fk) relationships among data in tables of a target database through machine learning (ml) are provided. The mlrds selects columns of the tables in the target database and identifies inclusion dependency (id) pairs from the selected columns.
Rokitt Inc.

Generating training data for machine learning

A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule.
International Business Machines Corporation

Text classifier training

A mechanism is provided in a data processing system for text classifier training. The data processing system receives a training set of text and class specification pairs to be used as a ground truth for training a text classifier machine learning model for a text classifier.
International Business Machines Corporation

Detecting method and device of obstacles based on disparity map and automobile driving assistance system

The present disclosure provides a disparity map-based obstacle detection method, a disparity map-based obstacle detection device, and a vehicle assistant driving system. The method includes steps of: acquiring a disparity map and a v disparity map in accordance with an image including a road surface; simulating the road surface in accordance with the v disparity map; identifying a first obstacle in accordance with a simulation result; extracting an object whose disparity value is greater than a first threshold in accordance with the disparity map, and subjecting the object to morphological operation so as to identify a second obstacle; extracting an object whose disparity value is smaller than a second threshold in accordance with the disparity map, and subjecting the object to morphological operation so as to identify a third obstacle; and screening the first obstacle, the second obstacle and the third obstacle in accordance with a training model, so as to detect the obstacle, the training model being acquired through machine learning in accordance with correct obstacle information and erroneous obstacle information.
Beijing Smarter Eye Technology Co. Ltd.

Continuous evaluation and adjustment of search engine results

Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through natural language processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools.
Bioz, Inc.

Continuous evaluation and adjustment of search engine results

Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through natural language processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools.
Bioz, Inc.

Text classifier operation

A mechanism is provided in a data processing system for text classification. A domain terms selector component, executing on a processor of the data processing system, receives an input text.
International Business Machines Corporation

System and selecting data sample groups for machine learning of context of data fields for various document types and/or for test data generation for quality assurance systems

A method and system learns new forms to be incorporated into an electronic document preparation system. The method and system receive form data related to a new form having a plurality of data fields that expect data values based on specific functions.
Intuit Inc.

Vertical growth tower and module for an environmentally controlled vertical farming system

A multi-stage, plant growing system is configured for high density growth and crop yields and includes among other things, towers or vertical growth columns, an enclosed controlled environmental growth chamber, interchangeable growth modules, and control systems capable of machine learning wherein the crops are optimally spaced and continually staged in their planting cycles utilizing special growth modules to provide an accelerated and continuous annual production yield. A vertical growth tower for vertical farming comprising a plurality of growth modules, each growth module comprising an enclosure configured to securely hold at least one plant; a drain aperture in the enclosure; and at least one lateral growth opening in the enclosure configured to permit and to encourage lateral growth of the at least one plant away from the enclosure; wherein one or more of the growth modules is configured to stackably support one or more of the other growth modules above and/or below itself within the vertical growth tower..
Mjnn Llc

Systems, methods, and devices for automatic signal detection with temporal feature extraction within a spectrum

Systems, methods and apparatus are disclosed for automatic signal detection in an rf environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory.
Dgs Global Systems, Inc.

Method and selecting a network resource as a source of content for a recommendation system

There are disclosed a method of and a system for selecting a network resource as a source of a content item, the content item to be analyzed by a recommendation system as part of a plurality of content items to generate a set of recommended content items as a recommendation for a given user of the recommendation system. The method comprises, for a network resource, receiving, by the server, a plurality of features associated with a network resource to be processed; generating given network resource profile for the network resource, the given network resource profile being based on the plurality of features; executing a machine learning algorithm in order to determine a source suitability parameter for the network resource, selecting at least one content item from the network resource if the source suitability parameter is determined to be above a pre-determined threshold..
Yandex Europe Ag

Specializing unsupervised anomaly detection systems using genetic programming

In one embodiment, a device in a network receives sets of traffic flow features from an unsupervised machine learning-based anomaly detector. The sets of traffic flow features are associated with anomaly scores determined by the anomaly detector.
Cisco Technology, Inc.

Framework for joint learning of network traffic representations and traffic classifiers

In one embodiment, a device in a network receives traffic data associated with a particular communication channel between two or more nodes in the network. The device generates a mean map by employing kernel embedding of distributions to the traffic data.
Cisco Technology, Inc.

Multi-thread auctions

Users using different messaging webservices or social network platforms can participate in an auction managed by a multi-thread auction system. Users on a first platform may bid on the auction through a message thread configured for the first platform, and users on a second platform may bid on the auction through a message thread configured for the second platform.
Ebay Inc.

Data pre-processing and searching systems

Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data.
Chicago Mercantile Exchange Inc.

Inferring user demographics through categorization of social media data

Embodiments include method, systems and computer program products for inferring user demographic groups through categorization of social media data. Aspects include receiving, by a processor, unknown user data made up of social media data and social media metadata for an unknown user.
International Business Machines Corporation

Sentiment polarity for users of a social networking system

A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page.
Facebook, Inc.

Machine learning based analytics platform

The present subject matter discloses system 102 and method to enable machine learning based analytics platform. The method may comprise generating a graphical user interface to enable one or more stake holders to generate and manage a model for predictive analysis.
Hcl Technologies Limited

Metadata-driven machine learning for systems

Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained.
Microsoft Technology Licensing, Llc

Cross-platform program analysis using machines learning based on universal features

A method for performing program analysis includes receiving programs of a first platform that have been assigned a first label and programs of the first platform that have been assigned a second label. Each of the programs of the first platform is expressed as platform-independent logical features.
International Business Machines Corporation

Cross-platform program analysis using machine learning based on universal features

A method for performing program analysis includes receiving programs of a first platform that have been assigned a first label and programs of the first platform that have been assigned a second label. Each of the programs of the first platform is expressed as platform-independent logical features.
International Business Machines Corporation

Systems and methods for intent classification of messages in social networking systems

Systems, methods, and non-transitory computer-readable media according to certain aspects can receive at least one message sent by a user of a social networking system to a page provided by the social networking system, where the page is associated with an entity. A training data set including a plurality of messages can be determined, and the training data set can indicate an intent classification for each of the plurality of messages.
Facebook, Inc.

Prioritization of electronic communications

Methods, systems, and apparatus for prioritizing communications are described. Metadata that characterizes an electronic communication is obtained and a machine learning algorithm is applied to the metadata to generate a scoring model.

Systems and methods for forecasting trends

Systems, methods, and non-transitory computer-readable media train a machine learning model to forecast growth of a content item, the growth being measured based at least in part on a count of user interactions with the content item, wherein the model is trained to adjust growth forecasts for the content item in response to one or more users interacting with the content item. A first growth forecast for the content item can be determined for a unit of time using the machine learning model.
Facebook, Inc.

Claim generation

A computer-implemented method, computerized apparatus and computer program product for claim generation, the method comprising: selecting at least one subject according to a given topic; selecting at least one verb from a first data source; selecting at least one object from a second data source; generating one or more candidate claim sentences, each of which composed of a subject selected from the at least one subject, a verb selected from the at least one verb and an object selected from the at least on object; and determining validity of the candidate claim sentences using a machine learning process.. .
International Business Machines Corporation

Machine learning image processing

A machine learning image processing system performs natural language processing (nlp) and auto-tagging for an image matching process. The system facilitates an interactive process, e.g., through a mobile application, to obtain an image and supplemental user input from a user to execute an image search.
Accenture Global Solutions Limited

Systems and methods for machine learning enhanced by human measurements

In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classified based at least in part on the human-weighted loss function.. .

Collection of machine learning training data for expression recognition

Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals.
Emotient, Inc.

Quantum-based machine learning for oncology treatment

A method and system may utilize a quantum information state analog to reinforcement learning techniques to determine whether to adapt a course of treatment for an oncology patient. A quantum-based reinforcement learning engine may represent a decision to adapt and a decision not to adapt the course of treatment for the oncology patient as quantum information states in a superposition.
The Regents Of The University Of Michigan

App name search method and system

Provided is a method of searching for an app name in a user terminal. The user terminal requests a download of an app from an app storage server.
Vimio Co. Ltd

Method and generating a content recommendation in a recommendation system

There is disclosed a computer-implemented method of generating a content recommendation for a user of an electronic device, the method executable by a recommendation, the content recommendation being associated with a content item available at one of a plurality of network resources accessible via the communication network. The method comprises: executing a first machine learning algorithm module in order to determine a sub-set of recommended content sources from a plurality of possible content sources that is based on at least some of a first sub-set of user-specific content sources and a generated second sub-set of user-non-specific content sources; analyzing the sub-set of recommended content sources to select a plurality of potentially-recommendable content items; executing a second machine learning algorithm module in order to select, from the plurality of potentially-recommendable content items, at least one recommended content item; the selection being made on the basis of a user-profile-vector..
Yandex Europe Ag

Multiple feature hash map to enable feature selection and efficient memory usage

In an example, a processing device of a database system may identify a set of machine learning features; generate a first hash map of said set of machine learning features and a second different hash map of said set of machine learning features. The processing device may generate a memory compact model for an online machine learning system using the first and second hash maps, and store the memory compact model in the memory device..
Salesforce.com, Inc.

Forecast-based automatic scheduling of a distributed network of thermostats with learned adjustment

Heating and cooling systems at various geographical locations are controlled by a central energy management service unit to maintain comfortable indoor temperatures. In some weather conditions, people may intuitively prefer a slightly warmer or cooler indoor temperature.
Enerallies, Inc.

System and remote ecg monitoring, remote disease screening, and early-warning system based on wavelet analysis

The invention relates to the system and method of remote ecg monitoring, remote disease screening, and early-warning system based on wavelet analysis. The system includes a wireless ecg signal acquisition device, a mobile terminal, and a cloud storage platform.
Fuzhou University

Automatic retraining of machine learning models to detect ddos attacks

In one embodiment, a device in a network receives an attack mitigation request regarding traffic in the network. The device causes an assessment of the traffic, in response to the attack mitigation request.
Cisco Technology, Inc.

Technologies for distributed acting and knowledge for the internet of things

Technologies for a distributed internet of things (iot) system are disclosed. Several iot devices may form a peer-to-peer network without requiring a central server.

Emotion type classification for interactive dialog system

Techniques for selecting an emotion type code associated with semantic content in an interactive dialog system. In an aspect, fact or profile inputs are provided to an emotion classification algorithm, which selects an emotion type based on the specific combination of fact or profile inputs.
Microsoft Technology Licensing, Llc

Image-based pose determination

A steganographic digital watermark signal is decoded from host imagery without requiring a domain transformation for signal synchronization, thereby speeding and simplifying the decoding operation. In time-limited applications, such as in supermarket point-of-sale scanners that attempt watermark decode operations on dozens of video frames every second, the speed improvement allows a greater percentage of each image frame to be analyzed for watermark data.
Digimarc Corporation

Systems and methods for continually scoring and segmenting open opportunities using client data and product predictors

Systems and methods for machine learning and adaptive optimization are provided herein. A method includes continually receiving input that is indicative of client events, including client behaviors and respective outcomes of software trials of a product maintained in a database, continually segmenting open opportunities using the client behaviors and respective outcomes, continually scoring and prioritizing the open opportunities using the client behaviors and respective outcomes for targeting and re-targeting, continually adjusting targeted proposals to open opportunities and sourcing in prospects based on a targeting scheme, continually presenting targeted offers to create expansion opportunities and updating a product roadmap of the product using the open opportunities, the product roadmap including technical specifications for the product..
Varmour Networks, Inc.

Knowledge-based decision support systems and process lifecycle automation

Computer implemented knowledge-based decision support system and method is provided. The method includes registering one or more software applications and data sources; defining processes to be implemented by executing the registered one or more software applications; orchestrating execution of the registered one or more software applications for implementing the processes; monitoring system performance based on the execution of the registered one or more software applications; generating analytics data related to the monitored system performance; updating a database with historical data using the generated analytics data; generating an analytical report by analyzing, using a machine learning technique, the historical data stored in the database as well as the generated analytics data; generating automatically user interface based on at least one of a layout and a specification provided by a user; modifying execution of the registered one or more software applications based on the generated analytical report; and displaying data from the generated analytical report using the user interface..
Tata Consultancy Services Limited

Method for determining venue and restaurant occupancy from ambient sound levels

The invention is a method and device system for determining publishing and taking reservation requests against a venue offering a restricted or resource-limited service or, a restaurant, bar or café whose occupancy is limited. The method can function unattended and provide the measure of availability from ambient sound levels, using digital acoustic sensors (microphones) and a machine learning process to predict and publish the availability of the resource or occupancy level of the space in which it is contained..

Machine learning techniques that identify attribution of small signal stimulus in noisy response channels

A method, system, and computer program product identifies attribution of small signal stimulus in noisy response channels. Using machine-learning techniques in a computer, a small signal correlation engine correlates time series stimuli data vectors to time series response data vectors, and generates correlation coefficients that identify contributions of event notifications, including small signal attributes, to aggregated response data.

Generate alerts while monitoring a machine learning model in real time

The present disclosure relates to system(s) and method(s) to generate alerts while monitoring a machine learning model in real time. The system is configured to receive, in response to a first input parameter, a first output parameter generated by a first function of a learning model corresponding to a machine learning model.
Hcl Technologies Limited

Machine learning in adversarial environments

An adversarial environment classifier training system includes feature extraction circuitry to identify a number of features associated with each sample included in an initial data set that includes a plurality of samples. The system further includes sample allocation circuitry to allocate at least a portion of the samples included in the initial data set to at least a training data set; machine-learning circuitry communicably coupled to the sample allocation circuitry, the machine-learning circuitry to: identify at least one set of compromiseable features for at least a portion of the initial data set; define a classifier loss function [l(xi, yi, w)] that includes: a feature vector (xi) for each sample included in the initial data set; a label (yi) for each sample included in the initial data set; and a weight vector (w) associated with the classifier; and determine the minmax of the classifier loss function (minwmaxi l(xi, yi, w))..

Systems and methods for response prediction to chemotherapy in high grade bladder cancer

Contemplated systems and methods allow for prediction of chemotherapy outcome for patients diagnosed with high-grade bladder cancer. In particularly preferred aspects, the prediction is performed using a model based on machine learning wherein the model has a minimum predetermined accuracy gain and wherein a thusly identified model provides the identity and weight factors for omics data used in the outcome prediction..
Nantomics, Llc

Machine learning assisted reservoir simulation

An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation..
International Business Machines Corporation

Metal oxide gas sensor array devices, systems, and associated methods

Methods, systems, and devices for detecting an analyte are disclosed and described. In one embodiment, a metal oxide semiconductor (mos) sensor pixel with a mos active material is exposed to the analyte in the gas environment.
Intel Corporation

Machine learning device which learns estimated lifetime of bearing, lifetime estimation device, and machine learning method

A machine learning device, which learns an estimated lifetime of a bearing, includes a state observation unit which observes a state variable including at least one of a vibration, a sound, a temperature, and a load of the bearing; and a learning unit which learns the estimated lifetime of the bearing based on an output of the state observation unit.. .
Fanuc Corporation