Boolean functions and binary arithmetic operations are central to standa...
Neuromorphic hardware architectures represent a growing family of potent...
Vision-based deep reinforcement learning (RL), similar to deep learning,...
This paper presents a new technique for training networks for low-precis...
Information in neural networks is represented as weighted connections, o...
Neural machine learning methods, such as deep neural networks (DNN), hav...