Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
Abstract: Recent advancements in sensor technologies, including camera-based systems integrated with computer vision and deep learning, have significantly transformed Advanced Driving Assistance ...
DreamWalk is a neural interface platform that bridges neuroscience and artificial intelligence to create immersive virtual experiences. The system uses machine learning algorithms to decode real-time ...
Abstract: Long-term time-series forecasting remains a critical challenge, with deep learning models often facing persistent training instability. This study reveals a critical insight: the ...
BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...
AOMedia AV2 video codec draft specification release, and a quick try at the reference implementation
After 5 years of work and over 2700 commits against the reference software, the Alliance for Open Media (AOMedia) has recently released the AV2 specification. This next-generation open video codec ...
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