US Patent Issued to Silicon Storage Technology on July 8 for "Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network" (California Inventors)

ALEXANDRIA, Va., July 9 -- United States Patent no. 12,353,503, issued on July 8, was assigned to Silicon Storage Technology Inc. (San Jose, Calif.).

"Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network" was invented by Hieu Van Tran (San Jose, Calif.), Stephen Trinh (San Jose, Calif.), Thuan Vu (San Jose, Calif.), Stanley Hong (San Jose, Calif.), Vipin Tiwari (Dublin, Calif.), Mark Reiten (Alamo, Calif.) and Nhan Do (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Configurable input blocks and output blocks and physical layouts are disclosed for analog neural memory systems that utilize non-volatile memory cells. An input block c...