US Patent Issued to THE TRUSTEES OF DARTMOUTH COLLEGE on June 23 for "Low power analog circuitry for artificial neural networks" (New Hampshire Inventor)

ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,979, issued on June 23, was assigned to THE TRUSTEES OF DARTMOUTH COLLEGE (Hanover, N.H.).

"Low power analog circuitry for artificial neural networks" was invented by Kofi Odame (Hanover, N.H.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A low power analog Long Short-Term Memory (LSTM) recurrent neural network has an input layer, an array of Adaptive Filter Unit for Analog LSTM, a linear projection layer, and an output layer. The output layer has multiple nonlinear amplifiers, a nonlinear element with a sigmoidal input-output characteristic function, and a time-constant adjustable, nonlinear, low pass filter that provides the memory function of th...