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:
Mar. 14, 2023

Filed:

Mar. 18, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Kalin Ovtcharov, Snoqualmie, WA (US);

Eric S. Chung, Redmond, WA (US);

Vahideh Akhlaghi, Redmond, WA (US);

Ritchie Zhao, Ithaca, NY (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2006.01); G06N 3/04 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/0445 (2013.01); G06N 3/084 (2013.01);
Abstract

Machine learning is utilized to learn an optimized quantization configuration for an artificial neural network (ANN). For example, an ANN can be utilized to learn an optimal bit width for quantizing weights for layers of the ANN. The ANN can also be utilized to learn an optimal bit width for quantizing activation values for the layers of the ANN. Once the bit widths have been learned, they can be utilized at inference time to improve the performance of the ANN by quantizing the weights and activation values of the layers of the ANN.


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