US Patent Issued to Intel on July 22 for "Framework for optimization of machine learning architectures" (California, Texas Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,249, issued on July 22, was assigned to Intel Corp. (Santa Clara, Calif.).

"Framework for optimization of machine learning architectures" was invented by Anthony Sarah (San Diego), Daniel Cummings (Austin, Texas), Juan Pablo Munoz (Folsom, Calif.) and Tristan Webb (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified h...