US Patent Issued on March 4 for "Hardware-implemented hybrid analog-digital mixed-mode matrix multiply-add processing element for machine learning applications" (California Inventor)

ALEXANDRIA, Va., March 5 -- United States Patent no. 12,242,906, issued on March 4.

"Hardware-implemented hybrid analog-digital mixed-mode matrix multiply-add processing element for machine learning applications" was invented by Georgios Konstadinidis (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A hardware-implemented hybrid analog-digital mixed-mode matrix multiply-add processing element (PE) for machine learning (ML) applications is disclosed. The hardware-implemented hybrid analog-digital mixed-mode matrix multiply-add PE for ML applications involves using Fin Field-Effect Transistors ("FinFETs"), which provide excellent sub-threshold operation, thereby reducing power requirements, and...