Abstract Binary-weight Neural Networks (BNNs) in which weights are binarized and
activations are quantized are employed to reduce computational costs of various kinds of …

A reconfigurable field-programmable gate array (FPGA)-based wired-logic deep neural
network (DNN) accelerator is presented. High energy efficiency of 16 nJ/classification …

Compared with the traditional memristor, it's more significant to research the multivalued
memristor in improving the stability and reliability of memristive neural networks. Developing …

For most of the edge-based system-on-chips (SoCs), the inference (eg a CNN accelerator)
and the security subsystems are typically separately designed and interacted with each …

Convolutional Neural Networks (CNNs) often require a huge amount of multiplication. The
current approach of multiplication reduction requires data preprocessing, which is power …