Abstract: Improved memory for machine learning applications is provided having remarkably low read access energy. Operation at relatively low clock rate and with a small number of cells on each bit line allows the sense amplifier for readout to be eliminated. As an example of the machine learning systems thereby enabled, we consider a multi-core system with a processing core dedicated to each of the three layers of the computation (expansion, depth-wise and projection layers). This system is configured to pipe line the computations per-pixel (in image processing), thereby significantly reducing the energy cost of each machine learning inference.