Collaborative Research: SHF: Small: Designing and Optimizing Tiny Vector Symbolic Architectures for Ultra-Efficient Inference on Tiny Devices

Despite the advances in deep neural networks (DNNs) and edge computing, there exist substantial challenges to enabling end-to-end DNN inference on a full spectrum of edge devices, such as tiny wearables and low-cost Internet-of-things (IoT) devices. This problem has spurred the recent studies of brain-inspired vector symbolic representation (VSA)…