ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,782,926, issued on Nov. 3, was assigned to Oracle International Corp. (Redwood Shores, Calif.).

"Prognostics acceleration for machine learning anomaly detection" was invented by Dmitriy Itkis (Vancouver, Wash.), Matthew T. Gerdes (Oakland, Calif.), Kenny C. Gross (Escondido, Calif.) and Guang Chao Wang (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and other embodiments associated with quadratic acceleration boost of compute performance for ML prognostics are described. In one embodiment, a prognostic acceleration method includes separating time series signals into a plurality of alternative configurations of clusters based o...