US Patent Issued to Robert Bosch on Oct. 6 for "Out-of-distribution detection with projection of gradients" (California Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,519, issued on Oct. 6, was assigned to Robert Bosch GmbH (Germany).

"Out-of-distribution detection with projection of gradients" was invented by Sima Behpour (Sunnyvale, Calif.), Thang Doan (San Francisco), Xin Li (Sunnyvale, Calif.), Wenbin He (Sunnyvale, Calif.), Liang Gou (San Jose, Calif.) and Liu Ren (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and system for detecting out-of-distribution data for a neural network. A training dataset includes in-distribution data, for example image data associated with one or more images. The neural network is trained on the in-distribution data, and has a plurality of layers. A subsp...