US Patent Issued to Silicon Storage Technology on March 17 for "Input circuitry for analog neural memory in a deep learning artificial neural network" (Null, American Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,422, issued on March 17, was assigned to Silicon Storage Technology Inc. (San Jose, Calif.).

"Input circuitry for analog neural memory in a deep learning artificial neural network" was invented by Hieu Van Tran (San Jose, Calif.), Kha Nguyen (Ho Chi Minh, Viet Nam), Thuan Vu (San Jose, Calif.), Hien Pham (Ho Chi Minh, Viet Nam), Stanley Hong (San Jose, Calif.) and Stephen Trinh (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Numerous embodiments of input circuitry for an analog neural memory in a deep learning artificial neural network are disclosed."

The patent was filed on Nov. 5, 2021, under Application No. 17/520,396.

*For fu...