ALEXANDRIA, Va., Aug. 6 -- United States Patent no. 12,380,362, issued on Aug. 5, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Continuous learning models across edge hierarchies" was invented by Ganesh Ananthanarayanan (Seattle), Yuanchao Shu (Kirkland, Wash.), Paramvir Bahl (Bellevue, Wash.) and Tsuwang Hsieh (Redmond, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for continuous learning of models across hierarchies under a multi-access edge computing. In particular, an on-premises edge server, using a model, generates inference data associated with captured stream data. A data drift determiner determines a data drift in the inference data by ...