US Patent Issued to Zoox on Sept. 8 for "Machine learning techniques for encoding driving scenarios" (California, New York Inventors)

ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,728,888, issued on Sept. 8, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine learning techniques for encoding driving scenarios" was invented by Yan Chang (Sunnyvale, Calif.), Alec Jacob Farid (Commack, N.Y.), Aaron Huang (San Francisco) and Peter Scott Schleede (El Dorado Hills, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques include generating a driving scenario representation based on another driving scenario representation and a modification representation. In examples, a method includes receiving a first driving scenario; receiving a second driving scenario; providing the first driving scenario and the second driving scena...