US Patent Issued to Aible on Sept. 22 for "Analyzing performance of models trained with varying constraints" (California Inventors)

ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,665, issued on Sept. 22, was assigned to Aible Inc. (Pleasanton, Calif.).

"Analyzing performance of models trained with varying constraints" was invented by Jonathan Richard Wray (Danville, Calif.), Arijit Sengupta (San Carlos, Calif.), Rodney Butters (Larkspur, Calif.) and James Zalman (Danville, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Data characterizing a set of models trained on a dataset using a set of resourcing levels can be received. The set of resourcing levels can specify a condition on outputs of models in the set of models. Performance of the set of models can be assessed using the set of resourcing levels. A feasible perf...