US Patent Issued to TENCENT AMERICA on July 15 for "Neural network model compression with quantizability regularization" (California Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,362,764, issued on July 15, was assigned to TENCENT AMERICA LLC (Palo Alto, Calif.).

"Neural network model compression with quantizability regularization" was invented by Wei Jiang (San Jose, Calif.), Wei Wang (Palo Alto, Calif.) and Shan Liu (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method, computer program, and computer system is provided for compressing a neural network model. A multi-dimensional tensor corresponding to a set of weight coefficients associated with a neural network is reshaped. A subset of weight coefficients is identified from among the set of weight coefficients. A model of the neural network is compressed b...