A Robust Digital RRAM-Based Convolutional Block for Low-Power Image Processing and Learning Applications.

Currently, there is a growing attention toward developing efficient hardware convolutional blocks for several applications such as computer vision or image processing. Recent works have shown that using binary values in convolutional blocks can considerably reduce the overall power consumption while achieving a high degree of accuracy. In parallel, some works employed resistive random-access memor...