JxCDC: Weight-Input Transformations for Robust and Low Power CiM in Ultra-Low Precision DNNs | SSCS February Technical Webinar
Virtual Event
Abstract: Computing-in-memory (CiM), in conjunction with ultra-low precision (ULP) inputs and weights, promises a pathway towards the deployment of DNN workloads on resource-constrained edge platforms. For instance, CiM-enabled binary neural […]