Resistive Neural Hardware Accelerators
The growing volume of data is posing challenges to existing hardware platforms for accelerating deep neural networks (DNNs). Learn about how resistive random access memory (ReRAM)-based in-memory computing holds potential in implementing area- and power-efficient interface and training large-scale neural network architectures. bit.ly/45Ua8jZ