US Patent Issued to Robert Bosch on Nov. 3 for "System and method for efficient analyzing and comparing slice-based machine learn models" (California Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,876, issued on Nov. 3, was assigned to Robert Bosch GmbH (Germany).

"System and method for efficient analyzing and comparing slice-based machine learn models" was invented by Jorge Henrique Piazentin Ono (Sunnyvale, Calif.), Xiaoyu Zhang (Davis, Calif.), Liang Gou (San Jose, Calif.) and Liu Ren (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for a machine-learning network that includes receiving an input dataset, sending the input dataset to a first machine-learning model to output predictions associated with the input data, identifying one or more slices associated with the input dataset and a first mac...