Digital replicas guide surgery and in silico experiments ...

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

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

Scientists trained a neural network that can use ion momentum to work backward and predict the pre-blast geometry of a molecule.

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

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

Inside a diseased cell, the genes are in chaos. Some are receiving signals to overproduce a protein. Others are reducing ...

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