Launch of the APS PRX Intelligence Journal
Machine learning is rapidly transforming how physicists analyze data, model complex systems, and discover new phenomena. At the APS Global Physics Summit in March, the editors of PRX Intelligence, a new journal from the American Physical Society, introduced their vision for a publication dedicated to research at the intersection of physics, artificial intelligence, and machine learning. Editors Anatole von Lilienfeld, Kyle Welch, and Nicola Marzari explain why now is the moment for a journal like this — one designed to capture the growing role of AI in scientific discovery.
The video "AI Meets Physics: Inside the New Journal PRX Intelligence" also headed out onto the conference floor to ask researchers directly how they are actually using machine learning today. From data analysis to materials discovery, physicists share how AI is helping them push the boundaries of their work — and where they still think human intuition matters most.
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