Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
Opinion
‘What I see in clinic is never a set of labels’: are we in danger of overdiagnosing mental illness?
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?
Psychedelics may rewire the brain to treat PTSD. Scientists are finally beginning to understand how.
New research shows MDMA and psilocybin may restore neural flexibility in people with PTSD, thereby helping the brain unlearn ...
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 ...
To make the discoveries, the researchers used their AI tool, which they’re calling AnomalyMatch, on nearly 100 million ...
Morning Overview on MSN
AI uncovers 1,300+ weird anomalies in 30 years of Hubble data
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 ...
Morning Overview on MSN
Tiny chip optical booster makes light 100x stronger with almost no energy
A tiny optical booster built directly onto a chip is pointing toward a future where light, not just electricity, does the ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
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