US Patent 11636325 In-memory data pooling for machine learning

A method comprises a first block of memory cells to store an input array, and a second block of memory cells. Pooling circuitry is operatively coupled to the first block of memory cells to execute in-place pooling according to a function over the input array to generate an array of output values. Writing circuitry is operatively coupled to the second block to store the array of output values in the second block of memory cells. Analog sensing circuitry is coupled to the first block of memory cells to generate analog values for the input array, wherein the pooling circuitry receives the analog values as inputs to the function. The writing circuitry operatively coupled to the second block is configured to store an analog level in each cell of the second block for the array of output values.