US Patent Issued to Zoox on March 25 for "Machine-learned architecture for efficient object attribute and/or intention classification" (California Inventors)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,260,651, issued on March 25, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned architecture for efficient object attribute and/or intention classification" was invented by Subhasis Das (San Mateo, Calif.), Oytun Ulutan (Buena Park, Calif.), Yi-Ting Lin (Foster City, Calif.) and Derek Xiang Ma (San Carlos, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for faster object attribute and/or intent classification may include an machine-learned (ML) architecture that processes temporal sensor data (e.g., multiple instances of sensor data received at different times) and includes a cache in an intermediate layer of the ML archit...