ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,460, issued on Dec. 30, was assigned to Xilinx Inc. (San Jose, Calif.).
"Hardware acceleration of machine learning designs" was invented by Ehsan Ghasemi (San Jose, Calif.), Rajeev Patwari (San Jose, Calif.), Elliott Delaye (San Jose, Calif.), Jorn Tuyls (Dublin), Ephrem C. Wu (San Mateo, Calif.), Xiao Teng (Cupertino, Calif.) and Sanket Pandit (San Jose, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Hardware acceleration of machine learning (ML) designs includes translating an ML primitive into an intermediate representation. The intermediate representation is subdivided to specify a functional compute block. The functional compute block is...