Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Important mental health history is often present in medical records but hard to find, especially when it is missing from the ...

Researchers combined low-temperature plasma processing with machine learning to synthesize and etch 6-inch MoS2 and WS2 ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...