Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

Researchers at USC's Viterbi School of Engineering have demonstrated an electronic memory device that functions far beyond previously known thermal limits. In experiments, the device remained ...

Abstract: Matrix multiplication circuits are widely used as accelerators in 3D graphics, communications, artificial intelligence, and other domains. Recent years have seen significant advances in ...