ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,932, issued on Nov. 11, was assigned to INTERNATIONAL BUSINESS MACHINES Corp. (Armonk, N.Y.).

"Automated end-to-end machine learning model optimization" was invented by Chao Xue (Beijing), Chang Xu (Beijing), Yu Ling Zheng (Beijing) and Leonid Karlinsky (Mazkeret Batya, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "Using a training portion of a dataset, a set of component parameters comprising parameters of a component of an object detection model are trained. Using the trained set of component parameters, a set of backbone component weights comprising weights of component types in a backbone portion of the object detection model are trained...