Abstract: Energy efficiency remains a critical challenge in network-on-chip (NoC) based machine learning (ML) accelerators due to high computation and communication costs. Existing NoC optimization ...

We tried out Google’s new family of multi-modal models with variants compact enough to work on local devices. They work well.

Abstract: Deep neural networks (DNNs) are increasingly being applied in critical domains such as healthcare and autonomous driving. However, their predictive capabilities can degrade in the presence ...