Frontiers

Numerical foundations for scalable statistical and machine learning methods

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

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations ...

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

Integrating machine learning with statistical methods enhances disease risk prediction models

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 ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
Nanowerk

AI system monitors 2D semiconductor manufacturing at the atomic layer

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

Pengwei Zhu Highlights the Role of Deep Statistical Machine Learning in Asthma Research and ...

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

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

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 ...

Here's how AI could help astronomers unlock new secrets about meteors

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their physical properties and origin.