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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12579440 B1

PDFFull Text
Date of Patent:
Mar. 17, 2026

Filed:

Nov. 11, 2021

Training artificial neural networks using context-dependent gating with weight stabilization

Applicant:

The University of Chicago, Chicago, IL (US);

Inventors:

Nicolas Y. Masse, Chicago, IL (US);

Gregory D. Grant, Chicago, IL (US);

David J. Freedman, Chicago, IL (US);

Assignee:

The University of Chicago, Chicago, IL (US);

Attorney:

McDonnell Boehnen Hulbert & Berghoff LLP

Primary Examiner:

Michelle T Bechtold

Assistant Examiner:

Aaron P Gormley

Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01); G06N 3/082 (2023.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06N 3/04 (2013.01); G06N 3/082 (2013.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01);
Abstract

A computing device may receive a first set of training data for training an ANN to predict output data for a first task, and may train the ANN with the first set of training data by only adjusting values of weights associated with a first subset of neurons, the first subset selected based on an identity of the first task. The computing device may receive a second, different set of training data for training the ANN to predict output data for a second task, and may train the ANN with the second set of training data by only adjusting values of weights associated with a second subset of neurons, the second subset selected based on an identity of the second task. During training, adjusting of the value of any weight may entail weight stabilization that depends on whether there has been any training for one or more previous tasks.

Find Patent Forward Citations

Masse, Nicolas. (2026). Training artificial neural networks using context-dependent gating with weight stabilization (U.S. Patent No. 12579440). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12579440

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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