Floating-gate transistor array for performing weighted sum computation

摘要

A weighted sum is a key computation for many neural networks and other machine learning algorithms. Integrated circuit designs that perform a weighted sum are presented. Weights are stored as threshold voltages in an array of flash transistors. By putting the circuits into a well-defined voltage state, the transistors that hold one set of weights will pass current equal to the desired sum. The current flowing through a given transistor is unaffected by operation of remaining transistors in the circuit.