Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to ...

Gopalakrishnan and his team have studied how to boost the movement of ions in magnesium batteries, which can have a higher ...

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

On October 3-4, 2025,The Federal Reserve Bank of Philadelphia and the Center for Applied AI at the University of Chicago Booth School of Business are co-hosting a conference on Frontiers in Machine ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Satellite imagery and machine learning (SIML) are increasingly being combined to remotely measure social and environmental outcomes, yet use of this technology has been limited by insufficient ...

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...