US Patent Issued to FAIR ISAAC on June 3 for "Overly optimistic data patterns and learned adversarial latent features" (California Inventors)

ALEXANDRIA, Va., June 4 -- United States Patent no. 12,323,440, issued on June 3, was assigned to FAIR ISAAC Corp. (Minneapolis).

"Overly optimistic data patterns and learned adversarial latent features" was invented by Scott Michael Zoldi (San Diego) and Shafi Ur Rahman (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems for improving security of a computer-implemented artificial intelligence by monitoring one or more transactions received by the machine learning decision model; receiving a first score generated by the machine learning decision model in association with a first transaction; identifying the first transaction as belonging to a first class, in response to the first score being lo...