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

An MSU-led team found promising therapeutics for two diseases that currently lack effective treatment, demonstrating how gene ...

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the ...

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 ...

Something unexpected has been happening in climate science labs and research institutions around the world. Scientists, the ...

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 how environmental regulations will affect wetlands and streams before they ...

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 floods. The studies, published in Water Resources Research and the Proceedings ...