Yva.ai, Inc.

Findo, Inc.

Abbyy Development Inc.

Visier Solutions, Inc.

David Yan

Victor Kuznetsov

Konstantin Anisimovich

Aleksandr Mertvetsov

Marina Chilingaryan

Anton Gordienko

Polina Kananykina

Viacheslav Seledkin

Victor Bocharov

Eric Pelletier

Anton Kirillov

An example method comprises: receiving a natural language text; transforming, by a neural network, the natural language text into a numeric representation comprising a plurality of numeric values; discarding the natural language text; and performing, using the numeric representation of the natural language text, an information extraction task.

Utilizing neural networks for data anonymization

A method to predict problematic actions in an organization, executed by a processing device, includes accessing stored employee-related data, such as at least one of emails, surveys, minutes, or records of conversations, identifying a subset of the employee-related data that is associated with an employee, and predicting, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign from the organization within a period of time.

Method of using machine learning to predict problematic actions within an organization

An example method of document clustering comprises: representing each document of a plurality of documents by a vector comprising a first plurality of real values, wherein each real value of the first plurality of real values reflects a first frequency-based metric of a term comprised by the document; partitioning the plurality of documents into a first set of document clusters based on distances between vectors representing the documents; representing each document cluster of the first set of document clusters by a vector comprising a second plurality of real values, wherein each real value of the second plurality of real values reflects a second frequency-based metric of a term comprised by the document cluster; and partitioning the first set of document clusters into a second set of document clusters based on distances between vectors representing the document clusters of the first set of document clusters.

Recursive agglomerative clustering of time-structured communications

A task assistant identifies a correspondence received by a source associated with a user and determines that the correspondence includes a request. The task assistant further determines a ranking associated with the request based on one or more characteristics of the request and of the correspondence. In response to the ranking of the request exceeding a threshold, the task assistant generates a notification associated with the request and provides the notification to a client device associated with the user.

Task assistant

An illustrative method according to a set of instructions stored on a memory of a computing device includes receiving, by a processor of the computing device, a search input. The method further includes searching, by the processor, a plurality of electronic storage locations for electronic files related to the search input. The method further includes determining, by the processor, the presence of an electronic file on a first electronic storage location of the plurality of electronic storage locations that is related to the search input. The method further includes displaying, by the processor, on a graphical user interface (GUI), representative information of the electronic file. The representative information includes descriptive information relating to the electronic file.

Method and system for cross-platform searching of multiple information sources and devices

Various embodiments are provided for enabling tagging of image files based on tagging or commenting on images on a social networking site. The tagging or commenting on an image on the social networking site is detected by the system. The social network tag or comment is analyzed to determine a textual tag to be assigned to image files corresponding to the social network images that have been tagged or commented on. In some implementations semantic analysis of text component of the social network tags or comments is performed. In some implementations the textual tags are then propagated to other image files associated with the user.

Tagging of images based on social network tags or comments

Various embodiments are provided for enabling audio tagging of image files. The audio messages are obtained by the system, usually by recording an audio message from a user, and then converted into a textual tag, using speech recognition technology. In some implementations semantic analysis of text component of these massages is performed. In some implementations the textual tags are then propagated to other image files associated with the user.

Growing community of inventors

Portola Valley, CA, United States of America

David Yan