Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

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 lungs, legs, feet, and other parts of the body. The condition is chronic ...

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

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

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

Artificial intelligence is becoming an increasingly visible part of modern healthcare technology. Hospitals, research institutions, and healthcare organizations are exploring ways AI systems can ...

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

Now the head of a venture capital firm focusing on AI-native start-ups, Songyee Yoon thinks gaming will be at the forefront of AI adoption ...

Valory co-founder David Minarsch says autonomous agents running on the Olas protocol are giving retail traders a 24/7, strategy-driven edge on platforms like Polymarket.