Energy-Efficient Convolutional Neural Network Accelerators for Edge Intelligence

Abstract

Over the last ten years, the rise of deep learning has redefined the state-of-the-art in many computer vision and natural language processing tasks, with applications ranging from automated personal assistants and social network filtering to self-driving cars and drug development. The growth in popularity of these algorithms has its root in the exponential increase of computing power available for their training consequent to the diffusion of GPUs. The achieved increase in accuracy created the demand for faster, more power-efficient h Show more