Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

For Week 17 NFL betting, SportsLine AI has evaluated the NFL odds and provided NFL betting picks for all 16 games. You can ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...