US Patent Issued to GOOGLE on Sept. 15 for "Scale-permuted machine learning architecture" (California Inventors)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,689, issued on Sept. 15, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Scale-permuted machine learning architecture" was invented by Xianzhi Du (San Jose, Calif.), Yin Cui (Mountain View, Calif.), Tsung-Yi Lin (Sunnyvale, Calif.), Quoc V. Le (Sunnyvale, Calif.), Pengchong Jin (Mountain View, Calif.), Mingxing Tan (Newark, Calif.), Golnaz Ghiasi (Mountain View, Calif.) and Xiaodan Song (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method of generating scale-permuted models can generate models having improved accuracy and reduced evaluation computational requirements. The method can include defining, ...