Integrated memory system for high performance Bayesian and classical inference of neural networks

A memory module system for a high-dimensional weight space neural network configured to process machine learning data streams comprising:

• a memory module comprising a static random access memory (SRAM) array and a cross-SRAM processing layer, the SRAM array comprising an array of SRAM cells, multiplexer, analog-to-digital converter (ADC) and multiplicand buffer, the memory module with embedded random number generators (RNGs) within the memory module, where the SRAM array is configured for scalar product computation to determine statistical density storage;
• the memory module configured to store neural network weights, sample the neural network weights, and compute one or more scalar product using the sampled neural network weights and one or more corresponding applied inputs, where the memory module adapts operating precision to optimize computing effort based on available weight space and application specifications;
• and
• transform the one or more scalar product into an output signal.