ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,676, issued on July 21, was assigned to Intel Corp. (Santa Clara, Calif.).

"Out-of-distribution detection using a neural network" was invented by Ibrahima Ndiour (Portland, Ore.), Nilesh Ahuja (Cupertino, Calif.), Ranganath Krishnan (Hillsboro, Ore.), Mahesh Subedar (Portland, Ore.), Omesh Tickoo (Portland, Ore.) and Ergin Genc (Portland, Ore.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Features extracted from one or more layers of a trained deep neural network (DNN) are used to detect out-of-distribution (OOD) data, such as anomalies. An OOD detection process includes transforming a feature output from a layer of the DNN from a relatively high-d...