Numerous microarchitectural optimizations unlocked tremendous processing power for deep neural networks that in turn fueled ...

Neuromorphic deep learning algorithm deployment may herald a low-power processing solution for artificial intelligence. Image ...

Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and ...

In recent years, deep learning has transformed Natural Language Processing (NLP), search retrieval, and ranking by enabling ...

Here’s an in-depth look at the most effective deep-learning techniques driving advancements in image recognition. Convolutional Neural Networks (CNNs) are the backbone of image recognition. CNNs excel ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

Deep Learning Containers provide optimized environments with TensorFlow and MXNet ... mxnet The above step should take a while to complete the first time you run it since it will have to download all ...

Abstract: The convenience of wireless communication has led to its widespread adoption across various application scenarios. However, existing Physical Layer Authentication (PLA) schemes still have ...