The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...