US Patent Issued to Optum on Oct. 6 for "Attention-based machine learning techniques using temporal sequence data and dynamic co-occurrence graph data objects" (Indian, British Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,135, issued on Oct. 6, was assigned to Optum Inc. (Minnetonka, Minn.).

"Attention-based machine learning techniques using temporal sequence data and dynamic co-occurrence graph data objects" was invented by Amit Kumar (Gaya, India), Suman Roy (Bangalore, India), Ayan Sengupta (Noida, India) and Paul J. Godden (London).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating a representative embeddings for a plurality of temporal sequences by using a graph attention augmented temporal network based at least in pa...