A customizable KWS approach reduces resource demands and allows users to easily add their own keywords without machine ...

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an ...

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A ...

Hardware design of deep convolutional neural networks (CNNs) faces challenges of high computational complexity and data bandwidth as well as huge divergence in different CNN network layers, in which ...