US Patent Issued to Intel on Sept. 16 for "Machine learning model scaling system with energy efficient network data transfer for power aware hardware" (California, Texas Inventors)

ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,417,260, issued on Sept. 16, was assigned to Intel Corp. (Santa Clara, Calif.).

"Machine learning model scaling system with energy efficient network data transfer for power aware hardware" was invented by Daniel J. Cummings (Austin, Texas), Juan Pablo Munoz (Folsom, Calif.), Souvik Kundu (Los Angeles), Sharath Nittur Sridhar (San Diego) and Maciej Szankin (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure is related to machine learning model swap (MLMS) framework for that selects and interchanges machine learning (ML) models in an energy and communication efficient way while adapting the ML models to real time changes in s...