ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,456,054, issued on Oct. 28, was assigned to NDSU Research Foundation (Fargo, N.D.).
"Gradient descent training for defensible artificial intelligence" was invented by Jeremy Straub (Fargo, N.D.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Defensible AI systems and methods may provide technical solutions for technical problems facing typical AI systems. An expert system may be used to address problems facing AI that systems operate without providing visibility into their internal decision-making processes. The expert system may be developed with meaning-assigned fact nodes. A gradient descent style training process may be used to improve the performanc...