US Patent Issued to XILINX on May 27 for "Determining quantization scale factors for layers of a machine learning model" (Chinese Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,863, issued on May 27, was assigned to XILINX INC. (San Jose, Calif.).

"Determining quantization scale factors for layers of a machine learning model" was invented by Shaoxia Fang (Beijing), Jiangsha Ma (Beijing), Xi Wang (Beijing), Junbin Wang (Beijing), Cheng Chen (Beijing) and Taobo Wang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "Approaches for determining quantization scale factors include generating a population of chromosomes. Each chromosome has multiple genes, and each gene specifies a scale factor associated with a layer of a machine learning model. The population of chromosomes are evaluated, and the evaluating includes, for e...