Boston University joins National Science Foundation institute pushing frontiers of physics and AI
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Updates every hour. Last Updated: 19-Jun-2026 08:15 ET (19-Jun-2026 12:15 GMT/UTC)
Boston University is joining the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), which aims to use AI to inform physics breakthroughs—and vice versa.
Studying physics can be very useful – even when it comes to machine learning. A digital ‘super-brain’ with built-in knowledge of the fundamental laws of nature can speed up the development of optical components for everything from quantum computers to eyeglass or camera lenses according to a new study from Chalmers University of Technology in Sweden.
“When we fed the super-brain information about the laws of physics, it immediately got much smarter. Our calculations now take one tenth of the time previously required,” says Philippe Tassin, professor at the Department of Physics and Astronomy, Chalmers University of Technology.
A study led by Lehigh University researchers reveals a new way that gold and palladium catalysts interact, separating key reaction steps to improve efficiency and stability. Published in Nature Catalysis, the work uncovers a previously unknown reaction mechanism and could help guide the development of more effective catalysts for renewable chemical manufacturing.
Commonwealth Fusion Systems (CFS), the global leader in fusion energy, today announced the publishing of five peer-reviewed physics basis papers on the company’s ARC fusion power plant in a special edition of Journal of Plasma Physics, published by Cambridge University Press.
A study co-led by an SUTD researcher has developed an AI-powered deep-learning framework trained on experimental data rather than simulations, enabling faster and more accurate design of light-controlling nanostructures.