US Patent Issued to Gruve Tech on Feb. 17 for "Machine learning-based systems and methods for identifying and resolving content anomalies in a target digital artifact" (California Inventors)

ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,554,983, issued on Feb. 17, was assigned to Gruve Tech Inc. (Wilmington, Del.).

"Machine learning-based systems and methods for identifying and resolving content anomalies in a target digital artifact" was invented by Meng Tao (San Francisco) and Yi Qiao (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning-based method for accelerating a detection and disposition of content anomalies in a target digital artifact includes identifying, by one or more computers, a digital artifact underpinning a digital artifact assessment request; detecting, via the one or more computers, a plurality of content deviations in the target digit...