Floating Gate for Neural Network Inference

A Floating gate setup system on a cluster environment, said system comprising:

• a processor;
• and
• a memory, the memory storing instructions to cause the processor to perform:
• in an initial setup of weights for a floating gate including rows, columns, and a separate input line:
• comparing a current weight to a desired weight;
• performing a feedback to the input line to set a voltage to change the floating gate field effect transistor (FET) threshold voltage (VT) and the current weight;
• and
• checking that the current weight is within a predetermined tolerance of the desired weight;
• and
• performing a stochastic pulse update on the floating gate based on the checking.