This paper presents an extensive literature review on Binary Neural Network (BNN). BNN
utilizes binary weights and activation function parameters to substitute the full-precision …

Specialized hardware accelerators beyond von-Neumann, that offer processing capability in
where the data resides without moving it, become inevitable in data-centric computing …

The binarized neural network (BNN) is one of the most promising candidates for low-cost
convolutional neural networks (CNNs). This is because of its significant reduction in memory …

The recent success of neural networks (NNs) has brought benefits to numerous fields, while
progressively pervading all aspects of our life. However, to achieve high accuracy, NNs use …

This chapter describes the need for cache memory architecture for the convergence of
machine learning (ML), the Internet of Things (IoTs), and blockchain technologies with a …