A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
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Tech firms face new uncertainty as Trump’s AI order targets “covered frontier models”
Trump’s new AI order introduces voluntary prerelease reviews for advanced AI models, but unclear classification rules are ...
Forward-thinking IT leaders are redesigning ownership, observability, and operational controls to make accountability ...
The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...
It's just a really exciting time for generative AI in the department,” the Pentagon’s chief artificial intelligence officer ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
It's good to know how long your phone will get updates before you purchase.
Independent testing by Wageningen University & Research (WUR) has shown that the Kilter AX-1 spray system qualifies for DRT99 ...
Public opinion shifts rapidly and benchmarks are not reliable.
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
It will use an AI model trained on clinical notes to help staff decide whether children may need emergency care.
“It's just a really exciting time for generative AI in the department,” the Pentagon’s chief artificial intelligence officer said. The Department of Defense plans to bring new models onto its internal ...
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