This article describes a scalable, configurable and cluster-based hierarchical hardware accelerator through custom hardware architecture for Sparsey,...

When deploying deep neural networks in embedded systems, it is crucial to decrease the model size and computational complexity for improving the execu...

Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are cruc...

Multiplications have been commonly conducted in quantized CNNs, filters, and reconfigurable cores, and so on, which are widely deployed in mobile and...

The echo state network (ESN) is a recently developed machine-learning paradigm whose processing capabilities rely on the dynamical behavior of recurre...