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:
Jun. 25, 2024

Filed:

Aug. 26, 2021
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Liwei Ma, Beijing, CN;

Elmoustapha Ould-Ahmed-Vall, Chandler, AZ (US);

Barath Lakshmanan, Chandler, AZ (US);

Ben J. Ashbaugh, Folsom, CA (US);

Jingyi Jin, Folsom, CA (US);

Jeremy Bottleson, Rancho Cordova, CA (US);

Mike B. Macpherson, Portland, OR (US);

Kevin Nealis, San Jose, CA (US);

Dhawal Srivastava, Phoenix, AZ (US);

Joydeep Ray, Folsom, CA (US);

Ping T. Tang, Edison, NJ (US);

Michael S. Strickland, Sunnyvale, CA (US);

Xiaoming Chen, Shanghai, CN;

Anbang Yao, Beijing, CN;

Tatiana Shpeisman, Menlo Park, CA (US);

Altug Koker, El Dorado Hills, CA (US);

Abhishek R. Appu, El Dorado Hills, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06N 3/063 (2023.01); G06N 3/082 (2023.01); G06T 1/20 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06N 3/063 (2013.01); G06N 3/082 (2013.01); G06T 1/20 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
Abstract

A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.


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