US Patent Issued to Optum on Nov. 3 for "Attention-based classifier machine learning models using dual-positional-mode segment embeddings" (Indian Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,908, issued on Nov. 3, was assigned to Optum Inc. (Minnetonka, Minn.).

"Attention-based classifier machine learning models using dual-positional-mode segment embeddings" was invented by Kartik B. Sharma (Nagpur, India) and Aravind Brahmadevara (Hyderabad, India).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments of the present invention use segment embeddings generated based at least in part on both intra-segment positional indicators for metadata labels within hierarchically-structured segments of a segment-ordered hierarchically-structured input data object as well as cross-segment position indicators for the noted hierarchically-str...