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:
Sep. 23, 2025

Filed:

Sep. 24, 2021
Applicant:

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

Inventors:

Swagath Venkataramani, White Plains, NY (US);

Shubham Jain, Elmsford, NY (US);

Leland Chang, New York, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/065 (2023.01); G06F 17/16 (2006.01); G06G 7/16 (2006.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/065 (2023.01); G06F 17/16 (2013.01); G06N 3/084 (2013.01); G06G 7/16 (2013.01);
Abstract

A system comprises an analog resistive processing unit (RPU) system, and one or more processors. The analog RPU system comprises an array of RPU cells. The one or more processors are configured to: configure the analog RPU system to implement a convolutional neural network comprising a convolutional layer comprising at least one kernel matrix; program the at least one array of RPU cells to store a transformed kernel matrix which is generated by applying a first transformation process to the kernel matrix using a first predefined transformation matrix; and utilize the analog RPU system to perform an analog convolution operation by performing analog matrix-vector multiplication operations using the transformed kernel matrix and input vectors of a transformed data matrix, to thereby generate a transformed convolution output matrix, wherein the transformed data matrix is generated by applying a second transformation process to a data matrix using a second predefined transformation matrix.


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