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Machine Learning patents

      

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

SALE: 350+ Machine Learning-related patent PDFs



 Visual representation of signal strength using machine learning models patent thumbnailVisual 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 for visual processing patent thumbnailMachine learning for visual processing
A method for developing an enhancement model for low-quality visual data, the method comprising the steps of receiving one or more sections of higher-quality visual data; and training a hierarchical algorithm. The hierarchical algorithm is operable to increase the quality of one or more sections of lower-quality visual data so as to substantially reproduce the one or more sections of higher-quality visual data.
Magic Pony Technology Limited


 System and  generating manually designed and automatically optimized spoken dialog systems patent thumbnailSystem and generating manually designed and automatically optimized spoken dialog systems
Disclosed herein are systems, computer-implemented methods, and tangible computer-readable storage media for generating a natural language spoken dialog system. The method includes nominating a set of allowed dialog actions and a set of contextual features at each turn in a dialog, and selecting an optimal action from the set of nominated allowed dialog actions using a machine learning algorithm.
Nuance Communications, Inc.


 Quantification of user receptiveness via machine learning patent thumbnailQuantification of user receptiveness via machine learning
A server provides communications to users and evaluates actions of the users after the provision of the communications to determine how receptive the various users are to such communications. Receptiveness is determined through a training process involving the formation of training sets based on whether users a test set of users were receptive to a previous set of communications, the derivation of relevant features for the users of the training set, the training of a model based on the derived features, and the use of the model for users whose receptiveness is to be estimated.
Uber Technologies, Inc.


 Machine learning for determining products to upsell or cross-sell patent thumbnailMachine learning for determining products to upsell or cross-sell
In an example embodiment, a server accesses, for a plurality of customer accounts within a professional networking service, a plurality of features of the customer accounts stored with the professional networking service. The server accesses, for the plurality of customer accounts within the professional networking service, past sales records of products from the professional networking service to the plurality of employer accounts.
Linkedin Corporation


 Continuously provisioning large-scale machine learning models patent thumbnailContinuously provisioning large-scale machine learning models
An approach for continuously provisioning machine learning models, executed by one or more computer nodes to provide a future prediction in response to a request from one or more client devices, is provided. The approach generates, by the one or more computer nodes, a machine learning model.
Samsung Sds America, Inc.


 Machine learning device, failure prediction device, machine system and machine learning  learning end-of-life failure condition patent thumbnailMachine learning device, failure prediction device, machine system and machine learning learning end-of-life failure condition
A machine learning device learning a condition associated with an end-of-life failure of an electronic component in network-connected equipment connected to a network, including a state observation unit that observes a state variable obtained based on at least one of a hardware configuration, manufacturing information, an operating status, a use condition, and an output from a sensor detecting a state of a surrounding environment of the network-connected equipment; a determination data acquisition unit that acquires determination data on determination of presence or absence of the end-of-life failure or a degree of the end-of-life failure of the electronic component in the network-connected equipment; and a learning unit that learns, based on training data created from an output from the state observation unit and an output from the determination data acquisition unit, and teacher data, a condition associated with the end-of-life failure of the electronic component in the network-connected equipment.. .
Fanuc Corporation


 Information processing apparatus, information processing method and program patent thumbnailInformation processing apparatus, information processing method and program
An information processing apparatus includes a control unit that creates a plurality of learning information items including an input image and a teacher image as an expected value by image-processing the input image in accordance with a scenario described with a program code, and supplies the created plurality of learning information items to a machine learning module that composes an image processing algorithm by machine learning.. .
Sony Corporation


 Coordinated version control system, method, and recording medium for parameter sensitive applications patent thumbnailCoordinated version control system, method, and recording medium for parameter sensitive applications
Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters.
International Business Machines Corporation


 Coordinated version control system, method, and recording medium for parameter sensitive applications patent thumbnailCoordinated version control system, method, and recording medium for parameter sensitive applications
Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters.
International Business Machines Corporation


Parent company industry classifier

In an example embodiment, a solution that automatically predicts an industry for a candidate company is provided. An existing industry classifier is trained using a first machine learning algorithm, the first machine learning algorithm taking as input first training data and existing industries listed in an industry taxonomy.
Linkedin Corporation

Method and automated organization of visual-content media files according to preferences of a user

A method and apparatus are provided for organizing media files using parameters obtained from the visual content and metadata of the media files. Using machine learning, an algorithm is trained to apply user preferences to organize the media files.

Automatic generation of training sets using subject matter experts on social media

A method, apparatus and computer program product for automatically generating training sets for machine learning. A set of topics to train a machine learning system is provided.
International Business Machines Corporation

Generation of training data for ideal candidate search ranking model

In an example embodiment, one or more sample ideal candidate member profiles in a social networking service are obtained, as well as one or more sample search result member profiles in the social networking service. Then, for each unique pair of sample ideal candidate member profile and sample search result member profile, a label is generated using a score generated from log information of the social networking service, the log information including records of communications between a searcher and members of the social networking service, the score being higher if the searcher communicated with both the member corresponding sample ideal candidate member profile and the member corresponding to the sample search result member profile in a same search session.
Linkedin Corporation

Ideal candidate search ranking

In an example embodiment, one or more ideal candidate member profiles in a social networking service are obtained. Then a search is performed on member profiles in the social networking service using a search query, returning one or more result member profiles.
Linkedin Corporation

Machine learning travel management system with wearable device integration

A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers.
Accenture Global Solutions Limited

Method and generating high precision map

The present application discloses a method and an apparatus for generating a high precision map. According to an embodiment, the method comprises: acquiring three-dimensional (3d) laser point cloud data and information related to a grid map for generating the high precision map; determining position information of each piece of the 3d laser point data of the 3d laser point cloud data in the grid map; rendering each pixel point in the grid map, by using the reflection value of corresponding 3d laser point data of the 3d laser point cloud data, in order to generate each of grid images in the grid map; identifying, by using a machine learning algorithm, traffic information of each of the grid images in the grid map; clustering the traffic information of each of the grid images in the grid map to obtain the traffic information of the grid map; and loading the traffic information of the grid map into the grid map to generate the high precision map.
Baidu Online Network Technology (beijing) Co., Ltd.

Smart messaging for computer-implemented devices

Various computer-implemented systems and methods are provided here for purposes of smart messaging. A machine learning application can obtain message context data from a user device, and process the message context data to determine a predicted conversation pattern of the conversation that is taking place between the particular users.
Salesforce.com, Inc.

Anomaly detection and prediction in a packet broker

Techniques for performing anomaly detection and prediction in a packet broker of a visibility network are provided. According to one embodiment, the packet broker can apply one or more machine learning models to network traffic that is replicated from a core network.
Brocade Communications Systems, Inc.

Method and data processing unit for optimizing an image reconstruction algorithm

A method includes provisioning a set of training data sets, each of the training data sets respectively including an acquisition data set; generating a first medical image for each of the training data sets of at least one first subset of the set of training data sets using the image reconstruction algorithm based on a respective acquisition data set; determining an image processing result for each of the respective first medical images using an image processing algorithm based on the respective first medical image; determining image processing information for each of the respective first medical images relating to a quality of the respective image processing result based on the respective image processing result; and optimizing the image reconstruction algorithm based on a first machine learning algorithm, the at least one first subset of the set of training data sets and the image processing information for the respective first medical images.. .
Siemens Healthcare Gmbh

Method and system for image registration using an intelligent artificial agent

Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters.
Siemens Healthcare Gmbh

Machine learning for determination of shipping rules and shipping methods for order fulfillment

Systems, methods, and devices for determining shipping rules and shipping methods for an order are disclosed herein. A computer implemented method includes receiving an electronic record of an order placed with a merchant.

Media spend management using real-time predictive modeling of media spend effects on inventory pricing

A method, system, and computer program product for media spend management. An internet media planning and purchasing application executes on a management interface device.

Machine learning system for assessing heart valves and surrounding cardiovascular tracts

A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract.
Stenomics, Inc.

Feature-set augmentation using knowledge engine

A method includes receiving an original feature-set for training a machine learning system, the feature-set including multiple records each having a set of original features with original feature values and a result, querying a knowledge base based on the set of original features, receiving a set of knowledge features with knowledge feature values responsive to the querying of the knowledge base, generating a first augmented feature-set that includes the multiple records of the original feature set and the knowledge features for the multiple records, and training the machine learning system based on the first augmented feature-set.. .
Futurewei Technologies, Inc.

Progressive neural networks

Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (dnns), including: a first dnn corresponding to a first machine learning task, wherein the first dnn comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent dnns corresponding to one or more respective machine learning tasks, wherein each subsequent dnn comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent dnn, and one or more preceding layers of respective preceding dnns, wherein a preceding layer is a layer whose index is one less than the current index..
Google Inc.

Software function verification system and software function verification method

A software function verification system and a software function verification method are provided. The system includes a first database, a document acquisition device, and a function verification device.
Wistron Corporation

Machine learning and robust automatic control of complex systems with stochastic factors

Given a set of input data and one or more performance metrics, this method searches directly for a region of specified size, said size representing a selected amount of random variation of the data that provides a preferred, but not necessarily optimal, value of the performance metric across the region. Repeated executions of this method over time yield a good, but not necessarily provably optimal, path through unstable conditions, as for a vessel or aircraft seeking a relatively quick path through changing turbulence.

Method for the discovery, validation and clinical application of multiplex biomarker algorithms based on optical, physical and/or electromagnetic patterns

A method for diagnosing or predicting the risk of shock, the method incorporating an algorithmic combination of optical, electromagnetic, and other sensors, along with their anatomic and temporal patterns. A method for developing the algorithms through iterative optimization using machine learning..

Systems and methods of diagnosing idiopathic pulmonary fibrosis on transbronchial biopsies using machine learning and high dimensional transcriptional data

The present invention provides systems, methods, and classifiers for differentiating between samples as usual interstitial pneumonia (uip) or non-uip.. .
Veracyte, Inc.

Machine learning methods and apparatus related to predicting motion(s) of object(s) in a robot's environment based on image(s) capturing the object(s) and based on parameter(s) for future robot movement in the environment

Some implementations of this specification are directed generally to deep machine learning methods and apparatus related to predicting motion(s) (if any) that will occur to object(s) in an environment of a robot in response to particular movement of the robot in the environment. Some implementations are directed to training a deep neural network model to predict at least one transformation (if any), of an image of a robot's environment, that will occur as a result of implementing at least a portion of a particular movement of the robot in the environment.
Google Inc.

Data driven indoor farming optimization

Data driven indoor farming optimization may provide autonomous decision making that maximizes crop yield. One or more specifications and one or more constraints on resources for a crop being monitored may be received at computing devices.
Iunu, Llc

Systems and methods for evaluating user activity

Systems, methods, and non-transitory computer-readable media can determine an event that may affect at least one activity being performed by a first group of users through the computing system. A set of first measurements of the at least one activity being performed by the first group of users over a period of time are determined.
Facebook, Inc.

Distributed processing systems

A distributed processing method is disclosed herein for evaluating student work product. 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.

High volume transaction queueing with machine learning

Embodiments of the invention are directed to a system and method for providing a high-volume transaction queueing, reserve ecommerce solution that automatically engages and queues transactions when a primary back-end transaction processing system becomes unresponsive or unstable. Through machine learning algorithms, embodiments of the invention control transaction submission rates by queuing them and throttling the rate at which they are processed based on self-awareness and constant monitoring, feedback and health checks of the primary system.
Digital River, Inc.

Online serving threshold and delivery policy adjustment

The present invention provides techniques for use in association with online advertising, relating to use of serving thresholds, associated with predicted click through rates, and delivery policies, associated with advertising inventory serving and distribution. An offline-trained machine learning-based model may be utilized in advertising serving decision-making in connection with serving opportunities.
Excalibur Ip, Llc

Ranking of parse options using machine learning

A computer-implementable method for managing a cognitive graph comprising: receiving data from a data source; processing the data, the processing comprising performing a parsing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the parsing operation, the parsing operation comprising ranking of parse options; and, storing the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data.. .
Cognitive Scale, Inc.

Ranking of parse options using machine learning

A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a data source; processing the data, the processing comprising performing a parsing operation on the data, the processing the data identifying a plurality of knowledge elements based upon the parsing operation, the parsing operation comprising ranking of parse options; and, storing the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data..
Cognitive Scale, Inc.

Training a quantum optimizer

Among the embodiments disclosed herein are variants of the quantum approximate optimization algorithm with different parametrization. In particular embodiments, a different objective is used: rather than looking for a state which approximately solves an optimization problem, embodiments of the disclosed technology find a quantum algorithm that will produce a state with high overlap with the optimal state (given an instance, for example, of max-2-sat).
Microsoft Technology Licensing, Llc

Systems and methods for automated data input error detection

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to receive historical transaction information associated with one or more historical transactions. A machine learning model is trained based on the historical transaction information.
Misys International Banking Systems Limited

Training data generating device, method, and program, and crowd state recognition device, method, and program

A rectangular region group storage unit stores a group of rectangular regions indicating portions to be recognized for a crowd state on an image. A crowd state recognition dictionary storage unit stores a dictionary of a discriminator acquired by machine learning by use of a plurality of pairs of crowd state image as an image which expresses a crowd state at a predetermined size and includes a person whose reference site is expressed as large as the size of the reference site of a person defined for the predetermined size, and training label for the crowd state image.
Nec Corporation

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.
Linkedin Corporation

Enhanced user efficiency in route planning using route preferences

In various implementations, routing factors are identified based on a routing request associated with a user, where the routing factors include route preferences of the user. Routes are generated based on the routing request.
Microsoft Technology Licensing, Llc

Vision-aided aerial navigation

An aerial vehicle is navigated using vision-aided navigation that classifies regions of acquired still image frames as featureless or feature-rich, and thereby avoids expending time and computational resources attempting to extract and match false features from the featureless regions. The classification may be performed by computing a texture metric as by testing widths of peaks of the autocorrelation function of a region against a threshold, which may be an adaptive threshold, or by using a model that has been trained using a machine learning method applied to a training dataset comprising training images of featureless regions and feature-rich regions.
Northrop Grumman Systems Corporation

Autoencoder-derived features as inputs to classification algorithms for predicting failures

The invention relates to using autoencoder-derived features for predicting well failures (e.g., rod pump failures) using a machine learning classifier (e.g., a support vector machine (svms)). Features derived from dynamometer card shapes are used as inputs to the machine learning classifier algorithm.
University Of Southern California

Speech enhancement and audio event detection for an environment with non-stationary noise

A computer-implemented system and method provide an audio label for a noise signal. The computer-implemented system and method include receiving an audio input and obtaining the noise signal from the audio input.
Robert Bosch Gmbh

Method and systems for determining programmatically expected performances

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for assessing a performance and/or determining a programmatically expected performance of a marketing campaign. In one embodiment a method for creating a unified data set from a plurality of data sets received from third-party service providers is disclosed.

Complex dynamic route sequencing for multi-vehicle fleets using traffic and real-world constraints

Methods and systems to dynamically and optimally sequence routes based on historical and real-time traffic conditions, and to predict anticipated traffic conditions along the dynamically generated route are disclosed. Route sequencing may be based on a set of predefined constraints, e.g., distance, time, time with traffic, or any objective cost function.
Route4me, Inc.

Apparatus for hardware accelerated machine learning

An architecture and associated techniques of an apparatus for hardware accelerated machine learning are disclosed. The architecture features multiple memory banks storing tensor data.
1026 Labs, Inc.

Modifying the modality of a computing device based upon a user's brain activity

Technologies are described herein for modifying the modality of a computing device based upon a user's brain activity. A machine learning classifier is trained using data that identifies a modality for operating a computing device and data identifying brain activity of a user of the computing device.

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

Modifying a user interface based upon a user's brain activity and gaze

Technologies are described herein for modifying a user interface (“ui”) provided by a computing device based upon a user's brain activity and gaze. A machine learning classifier is trained using data that identifies the state of a ui provided by a computing device, data identifying brain activity of a user of the computing device, and data identifying the location of the user's gaze.

Distribution of electronic messages

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, solving, for a set of input messages, a multi-objective optimization problem to minimize a number of messages to send while satisfying one or more constraints, selecting a random value for one or more message and message recipient pairs in the set of input messages, setting a send constraint for one or more of the pairs using a send threshold for the message in the set and the random value, and sending the message to a recipient for the message in the set in response to the send constraint for the pair being satisfied.. .

Method for personalized learning using a seamless knowledge spectrum

The software system gives students the teacher homework question. The system also asks the students to write a more difficult question than teacher question and a less difficult question to be linked with original.

Cross-channel recommendation processing

Cross-channel and cross-source data are aggregated into an aggregated data store. Custom segmentation is generated from the aggregated data.

Labeling of data for machine learning

A computer generates labels for machine learning algorithms by retrieving, from a data storage circuit, multiple label sets that contain labels that each classify data points in a corpus of data. A graph is generated that includes a plurality of edges, each edge between two respective labels from different label sets of the multiple label sets.

Crowdsourcing system with community learning

Crowdsourcing systems with machine learning are described. Specifically, item-label inference methods and systems are presented, for example, to provide aggregated answers to a crowdsourced task in a manner achieving good accuracy even where observed data about past behavior of crowd members is sparse.

Machine learning aggregation

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an intelligence aggregation system. One of the methods includes receiving, by an agent, one or more goal criteria.

Feature transformation of event logs in machine learning

Embodiments of the present invention provide systems, methods, and computer storage media directed at transforming event logs into features for use in machine learning. In embodiments, a method may include receiving an event log for a user.

Method and apparatus to analytically support parts provision for hardware maintenance service

The methods, systems, and computer program products described herein provide optimized provisioning of replacement parts for service calls through the use of machine learning. In some aspects, historical hardware maintenance tickets may be processed to generate symptoms vectors identifying sets of symptoms associated with the hardware maintenance tickets.

System and calculating search term probability

A system and method for predicting search term popularity is disclosed herein. A database system may comprise a first database cluster h and a second database cluster l.

Predicting user attentiveness to electronic notifications

A database comprises historical information of a user's response to previous notifications. The database is accessed to determine a time at which to provide a (new) notification to the user, utilizing at least: a) current user activity status (e.g., determined from measurement information collected from one or more personal devices and/or user calendar events; b) time/day; and c) context information about the notification (e.g., geo-location, indoors/outdoors) including notification type (e.g., calendar entry, email, im).

Target object detection system and a target object detection

A target object detection system includes a detection unit and a machine learning unit. The detection unit obtains an image and outputs a notification signal upon determining that a portion of the image resembles a target object by performing a classification operation.

Online engine for 3d components

Techniques for designing an online engine generating 3d components responsive to user queries. In an aspect, the online engine receives workflow data generated by a user.

Systems and methods for text analytics processor

A hardware-based programmable text analytics processor has a plurality of components including at least a tokenizer, a tagger, a parser, and a classifier. The tokenizer processes an input stream of unstructured text data and identifies a sequence of tokens along with their associated token ids.

System and facilitating computer generated conversations with the aid of a digital computer

The flexibility of a communication with a chatbot can be increased using a chatbot platform that can be integrated with a plurality of chat channels as well as facilitate communication between users of different chat channels. The platform can host chatbots that can leverage a plurality of resources, including internal and external natural language processors, machine learning, analytics services, and third party services to generate a response to user communications and take actions on behalf of the user.
Smartbothub Llc

Trouble diagnosis method and apparatus and system

Embodiments of this disclosure provide a trouble diagnosis method and apparatus and a system. The method includes: acquiring channel-related information on a coordinator and terminal equipment in communication with the coordinator; selecting multiple indices in the channel-related information, and calculating statistical values of the multiple indices in a predetermined period of time; and performing trouble diagnosis by using the statistical values and pre-stored training data, so as to obtain a trouble diagnosis result corresponding to the period of time.
Fujitsu Limited

Eye contact correction in real time using machine learning

Techniques related to eye contact correction to provide a virtual user gaze aligned with a camera while the user views a display are discussed. Such techniques may include determining and reducing histogram of oriented gradient features for an eye region of a source image to provide a feature set, applying a pretrained classifier to the feature set to determine a motion vector field for the eye region, and warping and inserting the eye region into the source image to generate an eye contact corrected image..
Intel Corporation

Patient condition identification and treatment

In one embodiment, computer implemented method identifies a risk of developing a condition for a particular patient. First, an initial variable set is developed by utilizing one or more patient databases.
Independence Blue Cross

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.
Oa Labs Llc

Regression-tree compressed feature vector machine for time-expiring inventory utilization prediction

This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates.
Airbnb, Inc.

Hierarchical visualization for decision review systems

Techniques are described for presenting a hierarchical arrangement of node evaluation results to facilitate the review of a decision. machine learning (ml) and/or artificial intelligence (ai) techniques are employed to automatically determine an individual result for each of multiple decision nodes that are hierarchically arranged to contribute to an overall result of a decision.
Accenture Global Solutions Limited

Method and system for crowd detection

A computer implemented method, computer program product and computer system for crowd detection. The computer system (1000) receives through an interface (1006) a plurality of user generated data records from a social media data storage (smds1, smds2) component, wherein a user generated data record comprises a text portion.
Agt Group (r&d} Gmbh

Talent artificial intelligence virtual agent bot

Talent artificial intelligence virtual agent (“taiva”) performs the function of an artificial intelligence driven career coach agent. The invention may serve the human resource, talent analytics, employee engagement and independent career coach functions for enterprises and professionals.

Machine learning system

Methods, systems, and computer program products are included for providing a predicted outcome to a user interface. An exemplary method includes receiving, from a user interface, a plurality of identifiers that identify objects.
Paypal, Inc

Using machine learning techniques to determine propensities of entities identified in a social graph

Techniques are provided for determining a propensity or likelihood that a person in a social network will perform a particular action. A statistical model that is trained based on multiple features of each member in a first plurality of members of a social network is stored.
Linkedln Corporation

Eye contact correction in real time using neural network based machine learning

Techniques related to eye contact correction to provide a virtual user gaze aligned with a camera while the user views a display are discussed. Such techniques may include encoding an eye region of a source image using a pretrained neural network to generate compressed features, applying a pretrained classifier to the features to determine a motion vector field for the eye region, and warping and inserting the eye region into the source image to generate an eye contact corrected image..
Intel Corporation

Disease prediction system using open source data

Described is a disease prediction system using open source data. The system includes a preprocessing module, a learning module, and a prediction module.
Hrl Laboratories, Llc

Content-based medical image rendering based on machine learning

An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering..
Siemens Healthcare Gmbh

Data processing system to detect neurodevelopmental-specific learning disorders

This document describes a data processing system for processing a feature vector that comprises features (one or more) that are indicative of dyslexic behavior that are indicative of dyslexic behavior. The data processing system includes a feature classification engine that generates classification metrics for a feature vector.
Carnegie Mellon University

Method and system of determining categories associated with keywords using a trained model

Described is a technique for associating words used in a search query with categories. This technique aims to produce potentially more relevant search results by improving the associations with words used for a search.
Baidu Usa Llc

A efficient one-to-one join

One-to-one join is widely used in machine learning and business intelligent applications. Disclosed herein is an efficient method for one-to-one join to reduce memory usage and thus disk i/o accesses with limited memory.
Nec Corporation

Method and system for cleansing and de-duplicating data

Method and system for cleansing and de-duplicating data in database are provided. The method includes filtering garbage records from a plurality of records based on data fields, and applying cleansing rules to create a cleansed database.
Leantaas

Customized content stream utilizing dwelltime-based machine learning

Methods, systems, and computer programs are presented for selecting content items for presentation to a user device of a user. One method includes an operation for measuring dwelltimes for a plurality of content items, where the dwelltime for a content item is based on the amount of time that the content item is displayed to a viewer.
Yahoo Holdings, Inc.

Object detection using radar and machine learning

A method and system for using one or more radar systems for object detection based on machine learning in an environment is disclosed. A scanning radar or combination of radars mounted on a vehicle or moving object scans the environment to acquire information.

Crowd-sourced vehicle setting recommendations

Driver vehicle setting values are crowd-sourced from multiple users in an anonymous manner. The crowd-sourced driver vehicle setting values are processed using machine learning to generate one or more vehicle setting recommendations to other users.
Google Inc.

Portable security device

Several embodiments include a portable security device. The portable security device can include one or more sensors.

Optimal image transformation based on professionalism score of subject

In an example embodiment, an image transformation is automatically performed on a digital image to improve perceived professionalism of a subject of the image. A machine learning algorithm is utilized to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising: a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; an analysis mode where the model is used to generate a professionalism score for the digital image.

Optimal cropping of digital image based on professionalism score of subject

In an example embodiment, an optimal cropping of a digital image is determined. A machine learning algorithm is used to generate a professionalism score for the digital image, the utilizing a machine learning algorithm comprising a training mode where a plurality of sample images with labeled professionalism scores are used to train a classification function in a model that produces as professionalism score as output; and an analysis mode where the model is used to generate a professionalism score for the digital image.

Machine learning algorithm for classifying companies into industries

In an example embodiment, a solution that automatically assigns one or more industries to a company in a job posting is provided using a machine learning algorithm. In a training phase, sample computerized job postings having labeled industries are fed into a machine learning algorithm to generate a raw industry classifier based on features comprising terms in a textual portion of the computerized job postings and one or more metrics for each of the terms.

Computerized system for facilitating sale of venue event tickets

A system for facilitating sale of venue event tickets involves: a venue interface; a venue offering database containing records of: currently available tickets, past event ticket acceptances, and acceptance history data; a subscriber database containing, for individual subscribers, at least an identification, interests, and contact information; a pricing module which will identify at least one subscriber to whom ticket(s) should be offered, on an urgent basis, at a reduced price determined using an algorithm taking into account at least: subscriber location, time until start for the event, estimated travel time between subscriber location and venue, and content of the acceptance history data; a communications module which will proactively communicate urgent offers to specific subscribers identified by the pricing module; and an evaluation and learning module which employs unsupervised machine learning to analyze acceptance history data and modify the algorithm used by the pricing module.. .

Automated assistant invocation of appropriate agent

Invoking an agent during a dialog between a user and an automated assistant. Some implementations are directed to receiving, during a human-to-automated assistant dialog, natural language input of the user that indicates a desire to engage an agent, but that fails to indicate a particular agent to be engaged.

Method and system for distributed machine learning

The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors..

Adaptive window size segmentation for activity recognition

A computer-implemented method, computerized apparatus and computer program product for activity recognition using adaptive window size segmentation of sensor data stream. A data stream generated by one or more sensors is obtained.

Pollution estimation system

A pollution estimation system (100) for estimating pollution level caused by exhaust gas of motor vehicles is provided. The system comprises an acoustic sensor interface (110) arranged to obtain use-data from an acoustic sensor comprising an audio sample of a motor vehicle sound and a trained exhaust gas model unit (120) arranged to receive as input the audio sample of the use-data and to apply a trained exhaust gas model to the received audio sample to produce an estimated pollution level associated with the received audio sample.

Wide and deep machine learning models

A system includes one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the computers to implement a combined machine learning model for processing an input including multiple features to generate a predicted output for the machine learning input. The combined model includes: a deep machine learning model configured to process the features to generate a deep model output; a wide machine learning model configured to process the features to generate a wide model output; and a combining layer configured to process the deep model output generated by the deep machine learning model and the wide model output generated by the wide machine learning model to generate the predicted output, in which the deep model and the wide model have been trained jointly on training data to generate the deep model output and the wide model output..

Parallel scene primitive detection using a surround camera system

Techniques for road scene primitive detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device having at least two parallel processing cores, at least one image from a camera associated with a vehicle on a road.

Road feature detection using a vehicle camera system

Examples of techniques for road feature detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device, an image from a camera associated with a vehicle on a road.

Health in your hands

The invention in this application is a decision-support system that utilizes single system design (ssd) and a proprietary algorithm to determine real change is for each individual patient. It pinpoints right medication and dosage for an individual patient, targets standards for functionality, called activities of daily living (adls), and quality of life indicators (qolis) to maximize personal health and satisfaction.

Medical history extraction using string kernels and skip grams

Systems and methods for document analysis include identifying candidates in a corpus matching a requested expression. String kernel features are extracted for each candidate.

Systems and methods for estimating histological features from medical images using a trained model

Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities.

Generating text snippets using supervised machine learning algorithm

In an example embodiment, a plurality of labeled training documents is obtained, each labeled training document containing a plurality of text snippets. Then, a first set of features is extracted from each text snippet in each of the plurality of labeled training documents.

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.

Method of and system for generating a weather forecast

There is disclosed a method and a system for creating a weather forecast. The method is implemented on a server.

Method and measuring refractive index in model-free manner

A method and apparatus for measuring a refractive index in a model-free manner are disclosed. The method includes: emitting a light to a surface plasmon generation layer that includes a nanoslot antenna and is disposed adjacent to a sample, to convert the light into surface plasmon; measuring a transmission of the sample from the light that is emitted onto the surface plasmon generation layer and passes through the sample; repeating the measuring the transmission while changing a length of the nanoslot antenna; and determining, based on a machine learning scheme, a restoration refractive index of the sample that is close to a graph of transmissions measured while changing the length of the nanoslot antenna from a library including a refractive index, a length of the nanoslot antenna, and a transmission at a specific wavelength..

Systems, devices and methods relating to motion data

Systems for studying motion are provided. A computing device [10] has a processor [20], an accelerometer [11], a gyroscope [12], a magnetometer [13] and storage/computer readable media [30] in communication with one another.

Adaptive automatic email domain name correction

A system and methods for correcting domain names in invalid email addresses are described herein. The method includes receiving email failure information including a bad domain name.
Lmp Software, Llc

Network data processing driver for a cognitive artifical intelligence system

Techniques are disclosed for processing data collected from network components for analysis by a machine learning engine of a cognitive ai system. A network data processing driver receives a stream of data from a data collector which obtains data from one or more network data sources.

System, automatic categorization and assessment of billing narratives

A system for automatic categorization and assessment of billing narratives has a semantic engine that classifies billing entries with descriptions expressed in natural language into standardized categories of activity and task objective. The classification is by machine learning methods via training data that is maintained, updated and extended as needed.

Machine learning device and machine learning learning fault prediction of main shaft or motor which drives main shaft, and fault prediction device and fault prediction system including machine learning device

A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.. .
Fanuc Corporation

Techniques to respond to user requests using natural-language machine learning based on branching example conversations

Techniques to response to respond to user requests using natural-language machine learning based on branching example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions, including one or more branching example user-to-bot interactions; and an interaction processing component operative to generate a linearized example-interaction repository by replacing the one or more branching example user-to-bot interactions with the plurality of linearized example user-to-bot interactions; submit the example-interaction repository to a natural-language machine learning component; and receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and a client communication component operative to perform a user-to-bot conversation based on the sequence model.
Facebook, Inc.

Motor task analysis system and method

Video processing for motor task analysis is described. In various examples, a video of a person carrying out a motor task, such as placing the forefinger on the nose, is input to a trained machine learning system to classify the motor task into one of a plurality of classes.
Novartis Ag

Remote determination of containers in geographical region

Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution.
Orbital Insight, Inc.

Optimizing similar item recommendations in a semi-structured environment

Systems, methods and media are provided for optimizing similar item recommendations in a semi-structured environment. In one embodiment a system includes at least one processor and a memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising, at least identifying a seed item; retrieving a subset of recommended items relevant to the seed item; and ranking the subset of recommended items based on an item conversion probability, wherein the ranking of the subset of recommended items is based on a machine learning technique, and wherein a binary or multi-class label is used as training input to the machine learning technique..
Ebay Inc.

Techniques to respond to user requests using natural-language machine learning based on example conversations

Techniques to response to user requests using natural-language machine learning based on example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions; and an interaction processing component operative to submit the example-interaction repository to a natural-language machine learning component; receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and perform a user-to-bot conversation based on the sequence model.
Facebook, Inc.

Methods and systems for optimized selection of data features for a neuro-linguistic cognitive artifical intelligence system

Techniques are disclosed to optimize feature selection in generating betas for a feature dictionary of a neuro-linguistic cognitive ai system. A machine learning engine receives a sample vector of input data to be analyzed by the neuro-linguistic cognitive ai system.

Automatically optimizing analytics database server

A system and method for automatically optimized statistical analysis by computer is disclosed. Given a programmatic definition of the data model, the system generates, manages, and interfaces optimized computer code for use by higher level client applications.
Ifwizard Corporation

Generating of 3d-printed custom wearables

Disclosed is a platform for generating and delivering 3-d printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable.
Wiivv Wearables Inc.

Control system with machine learning time-series modeling

An unsupervised machine learning model can make prediction on time series data. Variance of time-varying parameters for independent variables of the model may be restricted for continuous consecutive time intervals to minimize overfitting.
Accenture Global Solutions Limited

Video analytics device

A device may communicate with a group of devices to obtain data regarding a set of events occurring for the group of devices. The device may process the data regarding the set of events to remove a subset of data entries, from the data, that is associated with an anomalous event.
Accenture Global Solutions Limited

System for annotation of electronic messages with contextual information

A system that transforms electronic messages into annotated messages that include contextual information to aid a recipient in utilizing the electronic message, understanding its meaning, and responding to the message. Annotations are additions or modifications to the original message with contextual information that is related to the features and contents of the original message.
Mimecast North America, Inc.

Machine learning of electrical power system behavior, and related systems, apparatuses, and methods

The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system.
Demand Energy Networks, Inc.

Advertisement conversion prediction based on unlabeled data

Embodiments are disclosed for predicting target events occurrence for an advertisement campaign. A computing device according to some embodiments assigns a label to an advertisement as unlabeled, in response to a notification that a prerequisite event occurs for the advertisement.
Facebook, Inc.

Bulk dispute challenge system

In one example, a bulk dispute challenge system may select disputes to challenge from a bulk set of dispute events based on a probability of success and a return on investment. The bulk dispute challenge system may receive a dispute success model that calculates a predicted probability of success for disputes generated by applying a machine learning model to a training data set featuring multiple attributes describing data characteristics of disputed events.
Microsoft Technology Licensing, Llc

Systems and methods to develop training set of data based on resume corpus

Systems, methods, and non-transitory computer readable media are configured to acquire a resume corpus. The resume corpus is processed to generate resume tokens.
Facebook, Inc.

System and a requirement, compliance and resource management

A system and/or a method based on a scalable requirement, compliance and resource management methodology for designing a product/service, optimizing relevant processes and enhancing real time and/or near real time collaboration between many users is disclosed. Utilizing, a learning (self-learning) computer, a requirement, compliance and resource management methodology is further integrated with (a) a machine learning/fuzzy/neuro-fuzzy logic algorithm and/or (b) statistical algorithm and/or (c) weighting logic algorithm and/or (d) game theory algorithm and/or (e) a blockchain and enhanced with a graphical user interface..

Machine learning based procurement system using risk scores pertaining to bids, suppliers, prices, and items

A machine learning based procurement system comprises a machine learning classifier to classify bids. The procurement system determines a price risk score and a supplier risk score for each of the bids based on the classifications, and determines if any of the bids are associated with a high-risk procurement based on comparing the price risk score and the supplier risk score to the respective threshold.
Accenture Global Solutions Limited

Self-service classification system

Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as thomson reuters self-service classification™, employ part machine learning and part an user interactive approach to generate a customized classification model.

Merging feature subsets using graphical representation

A system, method and computer program product provides improved performance in machine learning, decision making and similar processes. In one example method, a plurality of individual subsets of features of a dataset comprising multiple features are received.
International Business Machines Corporation

Systems and methods to identify job titles for connections on a social networking system

Systems, methods, and non-transitory computer readable media are configured to determine scores regarding suitability of connections of a user for employment with an organization with which the user is employed based on a first machine learning model. Job titles for which the connections are suited are determined based on a second machine learning model.
Facebook, Inc.

Batching inputs to a machine learning model

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for batching inputs to machine learning models. One of the methods includes receiving a stream of requests, each request identifying a respective input for processing by a first machine learning model; adding the respective input from each request to a first queue of inputs for processing by the first machine learning model; determining, at a first time, that a count of inputs in the first queue as of the first time equals or exceeds a maximum batch size and, in response: generating a first batched input from the inputs in the queue as of the first time so that a count of inputs in the first batched input equals the maximum batch size, and providing the first batched input for processing by the first machine learning model..
Google Inc.

Structured machine learning framework

Disclosed is a computing device. The computing device can include a processor and a memory.

Selection of machine learning algorithms

Systems and methods of selecting machine learning models/algorithms for a candidate dataset are disclosed. A computer system may access historical data of a set of algorithms applied to a set of benchmark datasets; select a first algorithm of the set of algorithms; apply the first algorithm to an input dataset to create a model of the input dataset; evaluate and store results of the applying; and add the first algorithm to a set of tried algorithms.
Bigml, Inc.

Systems and methods for inferential sharing of photos

Techniques for separating shareable images from non-shareable images. In various implementations, image metadata and feature analysis may be used to evaluate the “shareability” of a photograph associated with a particular user.
Google Inc.

Systems and methods for identifying entities directly from imagery

Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images.
Google Inc.

System and optical character recognition

This disclosure relates to system and method for optical character recognition. In one embodiment, the method comprises providing an image data to a plurality of customized machine learning algorithms or various customized neural networks, configured to recognize a set of pre-defined characters.
Wipro Limited

Patient risk assessment based on machine learning of health risks of patient population

Mechanisms are provided for stratifying risk of a patient population. The mechanisms receive patient information for a plurality of patients in the patient population and perform a machine learning operation to train a risk scoring algorithm for scoring a risk of adverse conditions for the patient population using the patient information.
International Business Machines Corporation

Merging feature subsets using graphical representation

A system, method and computer program product provides improved performance in machine learning, decision making and similar processes. In one example method, a plurality of individual subsets of features of a dataset comprising multiple features are received.
International Business Machines Corporation

Machine learning device that performs learning using simulation result, machine system, manufacturing system, and machine learning method

A machine learning device that learns a control command for a machine by machine learning, including a machine learning unit that performs the machine learning to output the control command; a simulator that performs a simulation of a work operation of the machine based on the control command; and a first determination unit that determines the control command based on an execution result of the simulation by the simulator.. .
Fanuc Corporation

Rogue object detection algorithm for wireless charging notification

The disclosure generally relates to methods, system and apparatus to detect a rogue object placed on an a4wp charging pad (interchangeably, charging mat). In one embodiment, presence of a rogue object on a charging pad is detected by measuring currents and voltages from sensor circuits on ptu and apply machine learning algorithms to develop power leakage algorithm.
Intel Corporation

On-board structural load assessment of an aircraft during flight events

A system is provided for structural load assessment of an aircraft. An approximator may receive parameters related to a ground or flight event and calculate the resulting response load on the aircraft using a machine learning algorithm and a structural dynamics model of the aircraft.
The Boeing Company

Information based machine learning approach to elasticity imaging

Systems and methods are provided for employing informational models trained using the autoprogressive algorithm to learn the mechanical behavior of biological materials using a sparse sampling of force and displacement measurements. The constitutive matrix normally used to solve the inverse problem is replaced with anns..
The Board Of Trustees Of The University Of Illinois

Systems and methods of image processing to determine flow characteristics

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics..
Heartflow, Inc.

Cognitive radio achieving ad hoc interference multiple access wireless communication

An suoc radio employs: (1) spectrum sensing and parameter estimation methods to characterize potential fuocs; (2) a rate pair prediction tool to guide it's choice of fuoc to target along with the appropriate rate pair (suoc and fuoc achievable rates); (3) machine learning methods to automatically and on the fly advantage experience/history; (4) a decision maker with multiple possible procedures that govern steps of interaction; (5) multiuser detection receiver to deal with the interference once information-bearing transmission has commenced by the suoc radios. (6) a radio capable of full transmit-processing chain to accomplish modulation and full receive-processing chain to accomplish demodulation, as well as other radio functions necessary for successful wireless communications such as medium access control, networking and other functions..
Massachusetts Institute Of Technology

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

Network-based approach for training supervised learning classifiers

In one embodiment, a supervisory device in a network receives traffic data from a security device that uses traffic signatures to assess traffic in the network. The supervisory device receives traffic data from one or more distributed learning agents that use machine learning-based anomaly detection to assess traffic in the network.
Cisco Technology, Inc.

Distributed anomaly detection management

In one embodiment, a device in a network performs anomaly detection functions using a machine learning-based anomaly detector to detect anomalous traffic in the network. The device identifies an ability of one or more nodes in the network to perform at least one of the anomaly detection functions.
Cisco Technology, Inc.

Gathering flow characteristics for anomaly detection systems in presence of asymmetrical routing

In one embodiment, a first device in a network identifies a first traffic flow between two endpoints that traverses the first device in a first direction. The first device receives information from a second device in the network regarding a second traffic flow between the two endpoints that traverses the second device in a second direction that is opposite that of the first direction.
Cisco Technology, Inc.

Distributed feedback loops from threat intelligence feeds to distributed machine learning systems

In one embodiment, a device in a network receives anomaly data regarding an anomaly detected by a machine learning-based anomaly detection mechanism of a first node in the network. The device matches the anomaly data to threat intelligence feed data from one or more threat intelligence services.
Cisco Technology, Inc.

Adaptive capture of packet traces based on user feedback learning

In one embodiment, a node in a network detects an anomaly in the network based on a result of a machine learning-based anomaly detector analyzing network traffic. The node determines a packet capture policy for the anomaly by applying a machine learning-based classifier to the result of the anomaly detector.
Cisco Technology, Inc.

Edge-based machine learning for encoding legitimate scanning

In one embodiment, a device in a network receives an indication that a network anomaly detected by an anomaly detector of a first node in the network is associated with scanning activity in the network. The device receives labeled traffic data associated with the detected anomaly that identifies whether the traffic data is associated with legitimate or illegitimate scanning activity.
Cisco Technology, Inc.

Predictive network system and method

A proactive networking system and method is disclosed. The network anticipates the user demands in advance and utilizes this predictive ability to reduce the peak to average ratio of the wireless traffic and yield significant savings in the required resources to guarantee certain quality of service (qos) metrics.
University Of Southern California

Dynamic application degrouping to optimize machine learning model accuracy

In one embodiment, a device in a network identifies a plurality of applications from observed traffic in the network. The device forms two or more application clusters from the plurality of applications.
Cisco Technology, Inc.

Automatic finding and sharing of iot connected devices

Methods, computer program products, and systems are presented. Data characteristics describing data from iot devices are identified.
International Business Machines Corporation

Method and system for modeling image of interest to users

A system and method for modeling and distributing image data of interest to users is disclosed. Users on user devices such as mobile phones send request messages for image data captured by surveillance cameras of the system.
Sensormatic Electronics, Llc

Image and data capture and machine learning for automatic generation of search queries

Automatically capturing information and performing content searching may include extracting features from data content, for example, captured via an image capturing device or by another method. Features extracted from the data content are structured into an ontology graph representing keywords and contextual relationships.
International Business Machines Corporation

Location context inference based on user mobile data with uncertainty

Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data.
International Business Machines Corporation

Access communication subsystem with object/intelligent appliance-to-object/intelligent appliance interaction

An intelligent subsystem can connect with one or more objects or intelligent appliances, wherein the intelligent subscriber (access) subsystem includes a fuzzy logic algorithm or an artificial intelligence algorithm or a machine learning algorithm. The object at least includes a radio module and a sensor/bio-sensor module.

Dynamic recommendation of routing rules for contact center use

A machine learning system and method for contact center use. Activities associated with a plurality of contact centers are monitored and a knowledge base is updated based on the monitored activities.
Genesys Telecommunications Laboratories, Inc.

System and leveraging machine learning to deliver time-sensitive content over optimal devices and channels

Systems and methods are described for leveraging machine learning to deliver time-sensitive media content offers to a consumer over an optimal device and channel. In an implementation, a server system transmits media content offers over an optimal device and channel to a user.
Disney Enterprises, Inc.

Network security system with real-time and batch paths

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 training object classifier by machine learning

A system and method for training a computer-implemented object classifier includes detecting a foreground visual object within a sub-region of a scene, determining a background model of the sub-region of the scene, the background model representing the sub-region when any foreground visual object is absent from that sub-region, and training the object classifier by computer-implemented machine learning using the background model of the sub-region as a negative training example.. .
Avigilon Corporation

Method and system for facilitating purchase of vehicles by buyers and/or sale of vehicles by sellers

A data platform may comprise a machine learning model indicative of a propensity of a buyer to buy a respective vehicle of a plurality of vehicles for sale. The data platform may execute the machine learning model on vehicle-related data for the plurality of vehicles to determine a propensity to buy score for a respective vehicle.
Carco Technologies, Inc.

Machine learning for fraud detection

System, method and media for detecting fraud in submissions of tax return data. machine learning techniques including cluster analysis and tree-based classifiers are used to analyze large volumes of previously submitted tax returns based on tax data and submission-related data to detect patterns in genuine and fraudulent returns.
Hrb Innovations, Inc.

Machine learning apparatus, laser machining system and machine learning method

A machine learning apparatus that learns laser machining condition data of a laser machining system includes: a state amount observation unit that observes a state amount of the laser machining system; an operation result acquisition unit that acquires a machined result of the laser machining system; a learning unit that receives an output from the state amount observation unit and an output from the operation result acquisition unit, and learns the laser machining condition data in association with the state amount and the machined result of the laser machining system; and a decision-making unit that outputs laser machining condition data by referring to the laser machining condition data learned by the learning unit.. .
Fanuc Corporation

Information processing apparatus, information processing system, information processing method, and computer-readable recording medium

An information processing apparatus according to the present application includes an acquisition unit and a generation unit. The acquisition unit acquires, when a user performs one of specific behaviors respectively having a plurality of types, information on a behavior of the user performed on a terminal device and information on context associated with the user.
Yahoo Japan Corporation

System modernization using machine learning

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for system modernization using machine learning are disclosed. In one aspect, a method includes the actions of generating training data.
Accenture Global Solutions Limited

Document analysis system that uses machine learning to predict subject matter evolution of document content

A method includes performing, by a processor: receiving a document containing subject matter related to a course of action, the document comprising a plurality of sub-documents that are related to one another in a time sequence, converting the document to a vector format to generate a vectorized document that encodes a probability distribution of words in the document and transition probabilities between words, applying a machine learning algorithm to the vectorized document to generate an estimated vectorized document, associating the estimated vectorized document with a reference document; predicting future subject matter contained in a future sub-document of the document based on the reference document, and adjusting the course of action responsive to predicting the future subject matter.. .
Ca, Inc.

Methods and systems for improved machine learning using supervised classification of imbalanced datasets with overlap

A method and system for data classification using machine learning comprises collecting a dataset with a data collection module, receiving the dataset at a classification module configured for machine learning, dividing the dataset into a plurality of vectors, transforming the plurality of vectors into a plurality of variables wherein each variable is assigned a label, and classifying the variables.. .
Xerox Corporation

Multi-view machine learning

In implementations of the subject matter described herein, a machine learning scheme is proposed. Features of historical inputs from a user as well as corresponding outputs presented to the user in response to the historical inputs are obtained, where the features are previously determined based on contexts of the historical inputs which indicate information related to the user.
Microsoft Technology Licensing, Llc

Method of estimating program speed-up in highly parallel architectures using static analysis

The amount of speed-up that can be obtained by optimizing the program to run on a different architecture is determined by static measurements of the program. Multiple such static measurements are processed by a machine learning system after being discretized to alter their accuracy vs precision.
Wisconsin Alumni Research Foundation

Neuromorphic training algorithm for a restricted boltzmann machine.

This invention solves the long-standing problem in machine learning of training a neural network on a spike-based neuromorphic computer. The preferred embodiment of the invention describes an algorithm for training a restricted boltzmann machine (rbm) neural network, but the invention applies equally to training neural networks in the general class of markov random fields.

Optical implementation of machine learning for real time increased contrast via multiple wavelength illumination with tunable power

An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object.
Verily Life Sciences Llc

Methods and systems for non-cooperative automatic security screening in crowded areas

The present invention is a multi-threat detection method and system for high-traffic areas, such as airports, other mass-transit hubs, malls, symposiums, and the like. The detection methodology comprises a set of detection blocks, each performing different functions, and taking the information resulting from each block and entering it into one or more detection algorithms.
Apstec Systems Usa Llc

Data de-duplication systems and methods

A system, method, and computer program includes a communications interface configured to receive a set of industry reports from multiple industry sources, and circuitry to compare one or more attributes of at least two trade lines to identify whether the at least two trade lines are duplicates. The circuitry characterizes as a binary indication whether the comparing indicates the one or more attributes are a match, and display a representation of the binary indication and receive a user-identified indication whether the at least two trade lines are duplicates.
Corelogic Credco, Llc

Systems and methods for classifying electronic information using advanced active learning techniques

Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases.

Identifying potential computer system problems using machine learning techniques

A system and method for determining whether a computer system is experiencing a problem are provided. Multiple data sets are identified.
Linkedin Corporation

Medical device and detecting a ventricular arrhythmia event

A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ecg) signal and processing circuitry coupled to the input circuitry that is configured to identify fiducial points within the ecg signal.
Khalifa University Of Science, Technology, And Research

Method and system for machine learning based assessment of fractional flow reserve

A method and system for determining fractional flow reserve (ffr) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an ffr value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping.
Siemens Healthcare Gmbh

Crowdsourcing-mode-based analysis utilization of wireless network resources by mobile apps

A crowdsourcing-mode-based analysis method for utilization of wireless network resources by mobile applications (apps) includes the following steps. Behavior characteristic data of each type of mobile app is collected by using a data collection tool, which is installed on a mobile client and based on a crowdsourcing technology and an analysis algorithm located on a cloud server, and using a machine learning algorithm targeted to the behavior characteristic data.
Nanjing Howso Technology Co., Ltd

Probabilistic http request routing

Some embodiments perform probabilistic request routing in addition to or instead of deterministic request routing. The probabilistic request routing is based on probabilistic models that predict the type of content being requested based on commonality in elements between different requests directed to the same type.
Verizon Digital Media Services Inc.

Method and system for machine learning based estimation of anisotropic vessel orientation tensor

A method and apparatus for machine learning based detection of vessel orientation tensors of a target vessel from a medical image is disclosed. For each of a plurality of voxels in a medical image, such as a computed tomography angiography (cta), features are extracted from sampling patches oriented to each of a plurality of discrete orientations in the medical image.
Siemens Healthcare Gmbh

Predictive shopping

A budget-constrained, machine-learning system is described that creates a shopping (purchase) list and performs on-line ordering and delivery. It receives the shopper's past purchase receipts from a retail store, pharmacy and/or auto center.
Wal-mart Stores, Inc.

Performing automated operations based on transactional data

Subject innovations are directed towards a platform architecture, system, and special purpose software and hardware that employs a machine learning approach using transactional behavioral events and data about customers to allow a telecommunications marketer to express a set of configurable business rules and constraints, and within a dynamic optimization approach, derive solutions or marketing approaches to optimize delayed key performance indicators. In one embodiment, this is obtained using marketing experiments that seek to learn and influence long term behaviors of customers..
Amplero, Inc.

Machine learning applications for dynamic, quantitative assessment of human resources

Systems and methods that include characterizing individual team members in terms of specified “character elements” or attributes, and combining the individual characterizations into an aggregate characterization of the team. The team evaluation does not merely sum individual attributes; rather, it analyzes the composition of the team relative to predetermined metrics, taking into account what combinations of individual team member attributes are more likely to lead to success of the team..
Preseries Tech, Sl

Complex dynamic route sequencing for multi-vehicle fleets using traffic and real-world constraints

Methods and systems to dynamically and optimally sequence routes based on historical and real-time traffic conditions, and to predict anticipated traffic conditions along the dynamically generated route are disclosed. Route sequencing may be based on a set of predefined constraints, e.g., distance, time, time with traffic, or any objective cost function.
Route4me, Inc.

Machine learning apparatus, laser apparatus and machine learning method

A machine learning apparatus includes: a state amount observation unit that observes a state amount of a laser apparatus including output data from an optical output detection unit, an optical output characteristic recording unit that records history of a driving current and optical output characteristics, and a driving condition/state amount recording unit that records history of a ld unit driving condition data and the state amount; an operation result acquisition unit that acquires a prediction result of characteristics and measurement result of optical output characteristics of the ld unit; a learning unit that learns the ld unit driving condition data with the state amount and the results of the ld unit driving condition data; and a decision-making unit that decides, from a learning result, the ld unit driving condition data.. .
Fanuc 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

System and predicting and managing the risks in a supply chain network

This disclosure relates to predicting and managing supply chain network risks. In one embodiment, a processor-implemented method obtains identifiers for supply chain contributors and parameters; and a query.
Wipro Limited

System and rule generation using data processed by a binary classifier

A computer-implemented method is disclosed that operates in conjunction with machine learning binary classification of an event. The method generates a rule relating to whether or not the event will occur.
Huawei Technologies Co., Ltd.

Method and system for machine learning based classification of vascular branches

A method and apparatus for learning based classification of vascular branches to distinguish falsely detected branches from true branches is disclosed. A plurality of overlapping fixed size branch segments are sampled from branches of a detected centerline tree of a target vessel extracted from a medical image of a patient.
Siemens Healthcare Gmbh

Sampling content using machine learning to identify low-quality content

An online system obtains risk scores determined by a machine learning model for a content item provided by a user of an online system for display to users of the online system, where the risk scores indicate the likelihood of content items violating a content policy. The online system uses the risk scores to determine sampling weights used to select content items for inclusion in a sampled subset of content items.
Facebook, Inc.

Personalized adaptive risk assessment service

A behavioral health risk assessment service is provided to determine the behavioral health risk of a patient using personal demographic information and the patient's responses to adaptive screening questions. The screening questions are customized to the patient using machine learning techniques such as decision trees that optimize the amount of expected information gain on the behavioral health risk of the patient.
Lyra Health, Inc.

Content-based medical image rendering based on machine learning

An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering..
Siemens Healthcare Gmbh

Statistical feature engineering of user attributes

A method trains a model for providing content items to users of a social networking system. The system generates profile vectors based on user profile information such as demographic data and personal data.
Facebook, Inc.

Analyzing software test failures using natural language processing and machine learning

According to an aspect, software test failures are analyzed using natural language processing (nlp) and machine learning. A failure is detected during a code build associated with a software product.
International Business Machines Corporation

Wearable electromyography sensor array using conductive cloth electrodes for human-robot interactions

A sleeve worn on an arm allows detection of gestures by an array of sensors. Electromyography, inertial, and magnetic field sensors provide data that is processed to categorize gestures and translate the gestures into commands for robotic systems.
California Institute Of Technology

Cuff-less multi-sensor system for statistical inference of blood pressure with progressive learning/tuning

In one embodiment of the invention, a cuff-less blood pressure measuring system is disclosed including cuff-less blood pressure scanner with a vital signs signal processor having an adaptive blood pressure model. A machine learning process is further disclosed to tune the adaptive blood pressure model of the cuff-less blood pressure measuring system to the user..
Scanadu Incorporated

Automated diagnosis based at least in part on pulse waveforms

A front-end system collects diagnostically relevant information or data, including pulse waveform information, and optionally timing information, symptom information, and/or diagnostic information. One or more sensors or transducers detect pulse waveforms in a consistent manner, across various subjects and practitioners.
Pulse Tectonics Llc

Electronic message composition support method and apparatus

Disclosure includes an electronic message composition support system, method and architecture. Techniques including machine learning and natural language processing techniques are used to extend message composition capability and support and to provide feedback to a user regarding an error, condition, etc.
Yahoo! Inc.

Avatar animation system

Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape.
Intel Corporation

Learning-based drift detection tool

Embodiments are directed to a computer implemented method for generating a drift detector. The method includes generating, using a processor system, drift cases based at least in part on known drift set data of a computer system.
International Business Machines Corporation

Systems and methods for machine learning

A hybrid computer comprising a quantum processor can be operated to perform a scalable comparison of high-entropy samplers. Performing a scalable comparison of high-entropy samplers can include comparing entropy and kl divergence of post-processed samplers.
D-wave Systems Inc.

Systems and methods thereof for determination of a device state based on current consumption monitoring and machine learning thereof

A system for determination of a current consumer operational state operates on two sets of data respective of the current consumer. The first set of data is historical data of current consumption measured periodically.
Panoramic Power Ltd.

Methods and systems of spatiotemporal pattern recognition for video content development

A system for enabling user interaction with video content includes an ingestion facility configured to access at least one video feed and a machine learning system configured to process the at least one video feed through a spatiotemporal pattern recognition algorithm that applies machine learning on an event in the at least one feed in order to develop an understanding of the event including identifying context information relating to the event and an entry in a relationship library at least detailing a relationship between two visible video features. The system further includes an extraction facility configured to automatically extract content displaying the event and associate the extracted content with the context information, and a video production facility configured to produce a video content data structure that includes the context information.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Interacting with a broadcast video content stream is performed with a machine learning facility that processes a video feed of a video broadcast through a spatiotemporal pattern recognition algorithm that applies machine learning on at least one event in the video feed in order to develop an understanding of the at least one event. Developing the understanding includes identifying context information relating to the at least one event and identifying an entry in a relationship library detailing a relationship between two visible features of the video feed.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Producing an event related video content data structure includes processing a video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed. Developing the understanding includes identifying context information relating to the event and identifying an entry in a relationship library at least detailing a relationship between two visible features of the video feed.
Second Spectrum, Inc.

Methods and systems of spatiotemporal pattern recognition for video content development

Presenting event-specific video content that conforms to a user selection of an event type includes processing at least one video feed through at least one spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of at least one event within the at least one video feed to determine at least one event type, wherein the at least one event type includes an entry in a relationship library at least detailing a relationship between two visible features of the at least one video feed, extracting the video content displaying the at least one event and associating the understanding with the video content in a video content data structure. A user interface is configured to permit a user to indicate a preference for at least one event type that is used to retrieve and provide corresponding extracted video content with the data structure in a new video feed..
Second Spectrum, Inc.

Computerized system and open account processing

A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts.
Crowe Horwath, Llp

System and medical image based cardio-embolic stroke risk prediction

A system and method for medical image based patient-specific ischemic stroke risk prediction is disclosed. Left atrium (la) and left atrium appendage (laa) measurements are extracted from medical image data of a patient.
Siemens Healthcare Gmbh

Object recognition of feature-sparse or texture-limited subject matter

An object recognition system can be adapted to recognize subject matter having very few features or limited or no texture. A feature-sparse or texture-limited object can be recognized by complementing local features and/or texture features with color, region-based, shape-based, three-dimensional (3d), global, and/or composite features.
A9.com, Inc.

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 Inc.

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 deep neural network to predict a measure that candidate motion data for an end effector of a robot will result in a successful grasp of one or more objects by the end effector.
Google Inc.

Surgical instruments and systems incorporating machine learning based tissue identification and methods thereof

A surgical system includes an end effector assembly having first and second jaw members, a generator, and one or more machine learning applications. The first and/or second jaw member is movable relative to the other from a spaced-apart position to an approximated position for grasping tissue therebetween.
Covidien Lp

Method and system to enable controlled safe internet browsing

Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators.
Gryphon Online Safety, Inc.

Machine-learning optimization for computing networks

A machine-learning optimization of a plurality of networks is provided. The machine-learning optimization includes interconnecting an online platform providing a machine learning module, a core network of computers deploying novel software, and a plurality of internet network service providers.

System for planetary-scale analytics

A smart satellite system is capable of decision making and prioritization on the fly to optimize the use of downlink bandwidth to deliver prioritized data based upon opportunity and the resources of available payloads. By providing a satellite system with substantial processing power and a level of autonomy, the satellite is able to make decisions about capturing imagery data, including image data processing, object detection, image segmentation, and re-orientation of the satellite based upon the opportunity, from the satellite's perspective, for capturing image data of areas or objects of interest.
Satellogic Overseas, Inc. (bvi)

Image distractor detection and processing

Image distractor detection and processing techniques are described. In one or more implementations, a digital medium environment is configured for image distractor detection that includes detecting one or more locations within the image automatically and without user intervention by the one or more computing devices that include one or more distractors that are likely to be considered by a user as distracting from content within the image.
Adobe Systems Incorporated

Imaging segmentation using multi-scale machine learning approach

A robust segmentation technique based on multi-layer classification technique to identify the lesion boundary is described. The inventors have discovered a technique based on training several classifiers such that to classify each pixel as lesion versus normal each classifier is trained on a specific range of image resolutions.
International Business Machines Corporation

System and machine learning based line assignment

Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A line prediction host may comprise various modules and engines, wherein lookalike records may be identified wherein the line assignment of a credit limit to a prospective account holder may be enhanced for enhanced account member value, wherein the transaction network more properly functions according to approved parameters..
American Express Travel Related Services Company, Inc.

System for monitoring of workflows capable of automatic task allocation and monitoring of resources

Disclosed herein is a system for efficient management of work flow through project management software. More specifically, the invention relates to novel task allocation processing based on available resources, characteristics of those resources, external event management, machine learning, and image processing ensuring efficient workflow by allowing resource capabilities to efficiently be utilized automatically..
A2ps Consulting And Software Llc

Robot learning via human-demonstration of tasks with force and position objectives

A system for demonstrating a task to a robot includes a glove, sensors, and a controller. The sensors measure task characteristics while a human operator wears the glove and demonstrates the task.
Gm Global Technology Operations Llc

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.

Collision avoidance using auditory data

A controller for an autonomous vehicle receives audio signals from one or more microphones. The audio signals are input to a machine learning model that classifies the source of the audio features.
Ford Global Technologies, Llc

Method and system for purely geometric machine learning based fractional flow reserve

A method and system for determining hemodynamic indices, such as fractional flow reserve (ffr), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received.
Siemens Healthcare Gmbh

Graph framework using heterogeneous social networks

In an example embodiment, a supervised machine learning algorithm is used to train a communication reply score model based on an extracted first set of features and second set of features from social networking service member profiles and activity and usage information. When a plurality of member search results is to be displayed, for the member identified in each of the plurality of member search results, the member profile corresponding to the member is parsed to extract a third set of one or more features from the member profile, activity and usage information pertaining to actions taken by the members on the social networking service is parsed to extract a fourth set of one or more features, and the extracted third set of features and fourth set of features is inputted into the communication reply score model to generate a communication reply score, which is displayed visually to a searcher..
Linkedin Corporation

Learning systems and methods

A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images.
Digimarc Corporation

System and employee placement prediction using machine learning

A method, computer program product, and computer system for identifying, by a computing device, historical information associated with filling a substitute position for a profession, wherein the historical information may include a plurality of categories. At least a first portion of categories of the plurality of categories may be selected to be used in a prediction model.
Teacher Match, Llc

Methods of ai based crm

In a crowd sourcing approach, responses to customer service inquiries are provided by routing a subset of the inquiries to an independent group of experts. The customer service inquiries are optionally routed to specific experts based on matches between identified subject matter of the inquiries and expertise of the experts.
Directly, Inc.

Machine learning device, industrial machine cell, manufacturing system, and machine learning learning task sharing among plurality of industrial machines

A machine learning device, which performs a task using a plurality of industrial machines and learns task sharing for the plurality of industrial machines, includes a state variable observation unit which observes state variables of the plurality of industrial machines; and a learning unit which learns task sharing for the plurality of industrial machines, on the basis of the state variables observed by the state variable observation unit.. .
Fanuc Corporation

Optimization chat-based conversations

A method for optimizing chat-based conversations using machine learning is disclosed, comprising the use of machine learning to improve the likelihood of the chat-based conversation attaining a long-term goal or maintaining the engagement/interest level of an entity engaged in the conversation.. .
Rapportboost.ai

Machine-learning data analysis tool

Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ml) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (gui) that enables a user to train and apply a variety of different ml models on user-selected datasets of stored machine data.
Splunk Inc.

Real-time detection of object scanability

A system and method are disclosed for determining and alerting a user as to whether an object will successfully scan before the post-processing of the scan data. In embodiments, before post-processing of the scan data begins, the scan data is processed by a machine learning algorithm which is able to determine whether and/or how likely the scan data is to return an accurate scanned reproduction of the scanned object.

Systems and methods for enhancing data protection by anonosizing structured and unstructured data and incorporating machine learning and artificial intelligence in classical and quantum computing environments

Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the gdpr or hipaa, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (pet), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.
Anonos Inc.

Ontological subjects of a universe and knowledge representations thereof

The present invention discloses methods, systems, and tools for knowledge processing and visualizations by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subjects of the composition.

Methods and reducing artifacts in oct angiography using machine learning techniques

In some embodiments of the present invention, a method of reducing artifacts includes obtaining oct/octa data from an oct/octa imager; preprocessing octa/oct volume data; extracting features from the preprocessed octa/oct volume data; classifying the octa/oct volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.. .
Optovue, Inc.

Mental state mood analysis using heart rate collection based on video imagery

Video of one or more people is obtained and analyzed. Heart rate information is determined from the video.
Affectiva, Inc.

Depression assessment system and depression assessment method based on physiological information

The present invention discloses a depression assessment system based on physiological information, comprising an information acquisition module, a signal processing module, a parameters calculation module, a feature selection module, a machine learning module and an output result module. The present invention further discloses a depression assessment method based on various physiological information, comprising the following steps: 1, processing electrocardiogram (ecg) signal and one or more of photoplethysmography (ppg) signal, electroencephalogram (eeg) signal, galvanic skin response (gsr)signal, electrogastrography (egg) signal, electromyogram (emg) signal, electrooculogram (eog) signal, polysomnogram (psg) signal and temperature signal, and calculating signal parameters; 2, normalizing the obtained signal parameters, and performing the feature selection on parameters set formed by the normalized signal parameters to obtain feature parameters set; and 3, performing machine learning by utilizing the obtained feature parameters set, and establishing a depression assessment mathematic model to assess the depression level by utilizing a relationship between the feature parameters set and the depression level.
Shenzhen Sayes Medical Technology Co., Ltd.

Methods and systems of spatiotemporal pattern recognition for video content development

Providing enhanced video content includes processing at least one video feed through at least one spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of a plurality of events and to determine at least one event type for each of the plurality of events. The event type includes an entry in a relationship library detailing a relationship between two visible features.
Second Spectrum, Inc.

Feature generation for online/offline machine learning

A system for utilizing models derived from offline historical data in online applications is provided. The system includes a processor and a memory storing machine-readable instructions for determining a set of contexts of the usage data, and for each of the contexts within the set of contexts, collecting service data from services supporting the media service and storing that service data in a database.
Netflix, Inc,

Methods and systems for dynamic adjustment of session parameters for effective video collaboration among heterogenous devices

Methods and systems for mobile video communications may include using a wireless network for video communications when a wired network is unavailable by providing portable mobile communications equipment to enable video communications and collaborations over a cellular, satellite or other wireless network. The methods and systems may use two or more network connections to transmit data packets for the video communications or collaborations.
Swyme Ip Bv

Continuous security delivery fabric

A continuous security delivery fabric is disclosed. One or more security functions, comprising one or more tasks to be performed by a security tool, utility or service is encapsulated in a componentized security policy.
Cybric Inc.

Endpoint-based man in the middle attack detection using machine learning models

A first node of a networked computing environment initiates each of a plurality of different types of man-in-the middle (mitm) detection tests to determine whether communications between first and second nodes of a computing network are likely to have been subject to an interception or an attempted interception by a third node. Thereafter, it is determined, by the first node, that at least one of the tests indicate that the communications are likely to have been intercepted by a third node.
Cylance, Inc.

User experience using social and financial information

At least one financial information for a user is received. A machine learning model is determined.
International Business Machines Corporation

Probabilistic price and spike forecasting

A method to forecast a spike price of a commodity may include obtaining a request to perform a prediction of a spike in a price of a commodity. The method may also include obtaining additional information of the commodity based on the input.
Fujitsu Limited

Robust large-scale machine learning in the cloud

The present disclosure provides a new scalable coordinate descent (scd) algorithm and associated system for generalized linear models whose convergence behavior is always the same, regardless of how much scd is scaled out and regardless of the computing environment. This makes scd highly robust and enables it to scale to massive datasets on low-cost commodity servers.
Google Inc.

System and automated detection of incorrect data

Systems, apparatuses, and methods for the automated detection of incorrect data during a data entry process or detecting incorrect data that has been entered and stored previously. In one embodiment, the invention utilizes one or more of statistical analysis or a machine learning technique (either supervised or unsupervised) in order to identify potentially incorrect data..
Netsuite Inc.

Apparatus and generating weight estimation model, and estimating weight

An apparatus for generating the weight estimation model includes a training data collection unit that collects training data, the training data including skin spectrum information and weight information of a plurality of objects, and a model generation unit that generates the weight estimation model, used for a spectrum-based weight estimation, through machine learning based on the collected training data.. .
Samsung Electronics Co., Ltd.

Identification of individuals and/or times using image analysis

The present disclosure provides a method for training a machine learning software component. In a computing system, a plurality of images and a plurality of location tuples are received.
Sweatworks, Llc

Systems and methods for using wearable sensors to determine user movements

Systems and methods are described that use sensors, such as accelerometers, gyroscopes or magnometers, located in wearable technology or affixed to a weight or tool. The sensors capture the motions of a user, weight or tool, and the sensor signals are analyzed to determine a list of movements, exercises and/or activities that were performed by the user, weight, or tool.
Sensorkit, Inc.

Protection system including machine learning snapshot evaluation

This disclosure is directed to a protection system including machine learning snapshot evaluation. A device may comprise a machine learning engine (mle) to generate snapshots of device operation.
Intel Corporation



Machine Learning topics:
  • Machine Learning
  • Artificial Intelligence
  • Fingerprint
  • Networking
  • Social Networking
  • Social Network
  • Configuration Item
  • Physical Layer
  • Cognitive Radio
  • Network Topology
  • Distributed
  • Search Engine
  • Executable
  • Data Mining
  • Web Services


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