ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,152, issued on Oct. 6, was assigned to Arizona Board of Regents on behalf of Arizona State University (Scottsdale, Ariz.).
"Method and system for a temperature-resilient neural network training model" was invented by Jae-sun Seo (Tempe, Ariz.), Jian Meng (Tempe, Ariz.), Li Yang (Tempe, Ariz.) and Deliang Fan (Tempe, Ariz.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for increasing the temperature-resiliency of a neural network, the method comprising loading a neural network model into a resistive nonvolatile in-memory-computing chip, training the deep neural network model using a progressive knowledge distillation algorithm as a function o...