News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Elizabeth Fraley Kinder Ready has been a leader in the dynamic sphere of early childhood education, who has consistently been ...
Introduction: Cosmetology as an Expansion of Horizons of Learning Elizabeth Fraley Kinder Ready's mission is to introduce children to various approaches to lea ...
We've reached the home stretch of the off-season. Just a fortnight separates us from the first throws of the WorldTour ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...
Tech Xplore on MSN
An AI approach for single-image-based 3D character animation with preserved proportions
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
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