At&t Intellectual Property I, L.p.

Andrew Vishnyakov

Dan Flynn

Martin Patrick McEnroe

Daniel Flynn

Anna Kay Rice

A processing system may obtain an operations set associated with database sources of a database system from a client entity, the operations set including a statement, the statement including a query, identify data sets from the operations set, transmit, a request to a first owner to permit access to a first data set, and a request to a second owner to permit access to a second data set, and receive approvals from the first and second owners. The processing system may retrieve a first portion of data stored in the first data set and a second portion of data stored in the second data set in accordance with the approvals, execute the operations set in accordance with the first portion of data and the second portion of data to generate a result set, and provide the client entity access to the result set.

Database system consensus-based access control

A method for providing training data for a machine learning model includes: monitoring a specific user as the specific user reads electronic documents on a display to determine indications of pauses in reading for greater than a specified period of time; correlating objects on each of the displayed plurality of electronic documents to the pauses in reading; identifying features for the machine learning model based on the objects and textual analysis of each of the plurality of electronic documents; presenting information related to each identified feature to the specific user; obtaining from the specific user a descriptor defining each of the identified features and a value for each of the identified features indicating a relative importance or applicability of each of the identified features; and associating obtained descriptors and values with each of the identified features.

Document analysis using machine learning and neural networks

Methods, computer-readable media and apparatuses to improve storage and compression of data are disclosed. A processor receives a data stream, wherein the data stream comprises multiplexed data from a plurality of different sources, analyzes the data stream to identify a source of the plurality of different sources for each block of data of the data stream, demultiplexes the data stream based on the source of the each block of data of the data stream and applies a compression to the data stream that is demultiplexed based on the source of the each block of data of the data stream.

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Frisco, TX, United States of America

Andrew Vishnyakov