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. 30, 2021

Filed:

Jan. 09, 2019
Applicant:

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

Inventors:

Irem Boybat Kara, Zurich, CH;

Manuel Le Gallo-Bourdeau, Zurich, CH;

Nandakumar Sasidharan Rajalekshmi, Thalwil, CH;

Abu Sebastian, Adliswil, CH;

Evangelos Stavros Eleftheriou, Rueschlikon, CH;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 12/04 (2006.01); G06N 3/063 (2006.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 12/04 (2013.01); G06N 3/0635 (2013.01);
Abstract

A computer-implemented method of mixed-precision deep learning with multi-memristive synapses may be provided. The method comprises representing, each synapse of an artificial neural network by a combination of a plurality of memristive devices, wherein each of the plurality of memristive devices of each of the synapses contributes to an overall synaptic weight with a related device significance, accumulating a weight gradient ΔW for each synapse in a high-precision variable, and performing a weight update to one of the synapses using an arbitration scheme for selecting a respective memristive device, according to which a threshold value related to the high-precision variable for performing the weight update is set according to the device significance of the respective memristive device selected by the arbitration schema.


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