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:
Nov. 29, 2022

Filed:

Jun. 18, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Hsinyu Tsai, San Jose, CA (US);

Sanjay Kariyappa, Atlanta, GA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/063 (2006.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/0635 (2013.01); G06V 10/751 (2022.01);
Abstract

Drift regularization is provided to counteract variation in drift coefficients in analog neural networks. In various embodiments, a method of training an artificial neural network is illustrated. A plurality of weights is randomly initialized. Each of the plurality of weights corresponds to a synapse of an artificial neural network. At least one array of inputs is inputted to the artificial neural network. At least one array of outputs is determined by the artificial neural network based on the at least one array of inputs and the plurality of weights. The at least one array of outputs is compared to ground truth data to determine a first loss. A second loss is determined by adding a drift regularization to the first loss. The drift regularization is positively correlated to variance of the at least one array of outputs. The plurality of weights is updated based on the second loss by backpropagation.


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