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.

Date of Patent:
Oct. 27, 2026

Filed:

Jan. 07, 2022
Applicant:

Regeneron Pharmaceuticals, Inc., Tarrytown, NY (US);

Inventors:

Peter Hawkins, Tarrytown, NY (US);

Wen Zhang, Tarrytown, NY (US);

Gurinder Atwal, Tarrytown, NY (US);

Assignee:

Regeneron Pharmaceuticals, Inc., Tarrytown, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/045 (2023.01);
Abstract

Described herein are methods and systems for generating, training, and tailoring deep-learning models. The present methods and systems may provide a generalized framework for using deep-learning models to analyze data records comprising one or more strings (e.g., sequences) of data. Unlike existing deep-learning models and frameworks, which are designed to be problem/analysis specific, the generalized framework described herein may be applicable for a wide range of predictive and/or generative data analysis.


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Hawkins, Peter. (2026). Methods and systems for improved deep-learning models (U.S. Patent No. 12775837). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12775837

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