ALEXANDRIA, Va., June 16 -- United States Patent no. 12,307,249, issued on May 20, was assigned to The Regents of the University of California (Oakland, Calif.).

"Bit-parallel vector composability for neural acceleration" was invented by Soroush Ghodrati (La Jolla, Calif.) and Hadi Esmaeilzadeh (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, apparatus and systems that relate to hardware accelerators of artificial neural network (ANN) performance that significantly reduce the energy and area costs associated with performing vector dot-product operations in the ANN training and inference tasks. Specifically, the methods, apparatus and systems reduce the cost of bit-level flexibility stemming...