A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...

Overview: The proper GPU accelerates AI workloads, neural network training, and complex computations.Look for high CUDA core ...

A research team has developed a causal deep learning model to personalize corticosteroid therapy for intensive care unit ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

The eight-month program combines deep technical training with applied learning on sustainable AI practices. Participants are trained not only to build advanced models but also to consider the resource ...

Researchers at the University of Southampton have developed an artificial intelligence (AI) tool that can spot hard-to-see ...

A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain's language system.

Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...