Abstract: This presentation will elaborate on some of the technical content of the paper of the same title published in the OJSSCS. The paper employs several methods that may be unfamiliar […]
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 […]
Abstract: Three-dimensional integrated circuits (3D ICs) are shaping the future of AI hardware by stacking multiple chips vertically to achieve higher bandwidth, lower latency, and better energy efficiency. But this […]
