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 ...

We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...

The Machine Learning Lab matching event will take place on Friday, Oct. 17 and is an opportunity for faculty and researchers seeking machine learning expertise to connect with undergraduate and master ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...

Expert Intelligence aims to automate the interpretation of lab data in settings compliant with ‘good practices’ guidelines ...

The National Science Foundation has selected UT Austin to lead the NSF AI Institute for Foundations of Machine Learning. The NSF AI Institute for Foundations of Machine Learning and the Machine ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...