US Patent Issued to Silicon Storage Technology on Aug. 4 for "Output circuitry for analog neural memory in a deep learning artificial neural network" (California Inventors)

ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,699,889, issued on Aug. 4, was assigned to Silicon Storage Technology Inc. (San Jose, Calif.).

"Output circuitry for analog neural memory in a deep learning artificial neural network" was invented by Hieu Van Tran (San Jose, Calif.) and Thuan Vu (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Numerous embodiments of output circuitry for an analog neural memory in a deep learning artificial neural network are disclosed. In some embodiments, a common mode circuit is used with differential cells, W+ and W-, that together store a weight, W. The common mode circuit can utilize current sources, variable resistors, or transistors as part of the...