A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...
Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...
AI-generated images are getting scarily realistic, but there are still clear signs to help you spot the fakes.
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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