CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks

Currently, a major trend in artificial intelligence is to implement neural networks at the edge, within circuits with limited memory capacity. To reach this goal, the in-memory or near-memory implementation of low precision neural networks such as Binarized Neural Networks (BNNs) constitutes an appealing solution. However, the configurability of these approaches is a major challenge: in neural net...