Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

Our current approach to mental health labelling and diagnosis has brought benefits. But as a practising doctor, I am concerned that it may be doing more harm than good ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Astronomers used an a custom-built AI tool to scour millions of Hubble images, uncovering the universe's overlooked curiosities.

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...