Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

A newly developed machine learning model may be able to predict intimate partner violence in patients before they seek help.

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

A software the city of Santa Fe purchased last year that uses machine learning and artificial intelligence technology to ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

Research shows that combining silica fume, fly ash, and manufactured sand in concrete significantly boosts strength and enhances predictive modeling accuracy.

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's ...