US Patent Issued to Zoox on March 24 for "Error prioritization for improving machine learned models" (California Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,272, issued on March 24, was assigned to Zoox Inc. (Foster City, Calif.).

"Error prioritization for improving machine learned models" was invented by Minsu Jang (San Mateo, Calif.) and Antonio Prioletti (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for determining whether a machine-learned model has improved or regressed in response to an update, as well as verifying whether those improvements or regressions impact overall vehicle safety, are described herein. The techniques may include running a simulation in which a simulated vehicle traverses a simulated environment. During the simulation, sensor data associated...