ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,587, issued on April 14, was assigned to ALi Corp. (Hsinchu, Taiwan).

"Multi-task deep learning network and generation method thereof" was invented by Jou-Yun Pan (Taipei, Taiwan) and Keng-Chih Chen (Taipei, Taiwan).

According to the abstract* released by the U.S. Patent & Trademark Office: "A multi-task deep learning network and a generation method thereof are provided. The generation method of a multi-task deep learning network includes: building at least one shared layer, where the shared layer is configured to receive a plurality of pieces of input information and generate a plurality of pieces of processed feature information; building a plurality of groups of task-specific...