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 ...

How detection theory and NFL analytics, reveal why College Football Playoff rankings struggle at scale—and why AI should ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...

Bangladesh routinely laments the absence of critical thinking among its graduates, yet rarely confronts the systemic failures that prevent its development. From rote-driven primary schooling to theory ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...