The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)
The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI, pronounced /aɪ-faɪ/) is one of the inaugural NSF AI research institutes. The IAIFI will advance physics knowledge – from the smallest building blocks of nature to the largest structures in the Universe – and galvanize AI research innovation. The IAIFI is comprised of both physics and AI researchers at MIT, Harvard, Northeastern, and Tufts. Learn more about our proposed research at the Physics/AI intersection and about our IAIFI Fellows program.
We are pleased to announce the 2022-2025 IAIFI Fellows competition! Visit our IAIFI Fellows page for details. Applications are due by September 21, 2021.
IAIFI Colloquium Series Will Return in the Fall: We recently completed our Spring 2021 biweekly virtual colloquium series! Throughout the spring semester, the series showcased IAIFI researchers. Sign up for our mailing list to receive updates on the series for Fall 2021. If you missed any of the previous colloquia, you can watch the recordings on our YouTube channel, including a playlist of all the talks.
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Jesse Thaler Interviewed for Communications of the Association for Computing Machinery: Read Jesse Thaler’s interview on Using AI to Drill Down in Physics, July 8, 2021
Philip Harris Receives Department of Energy Early Career Research Award for 2021: The award provides “exceptional researchers during the crucial early career years” with significant funding to support their research. Philip Harris was selected for his research, “Harnessing the Large Hadron Collider with New Insights in Real-Time Data Processing and Artificial Intelligence.” DOE announces 2021 Early Career Research Awards, May 27, 2021
IAIFI Senior Investigators Present at EmTech Digital Conference 2021: Watch Jesse Thaler, Phiala Shanahan, and Pulkit Agrawal present Master Classes for MIT Technology Review’s EmTech Digital Conference 2021: IAIFI Master Classes on YouTube, April 20, 2021
Bill Freeman Elected Member of National Academy of Engineering: “For contributions to computer vision and image enhancement.” National Academy of Engineering, February 9, 2021
“Can a Computer Devise a Theory of Everything?”: Max Tegmark and Jesse Thaler weigh in on this provocative question in a New York Times article by Dennis Overbye, November 23, 2020
AI for Cosmology: Read about Cora Dvorkin’s work on using machine learning to study the structure of the universe, particularly subhalos of dark matter: Quanta Magazine, Harvard Gazette, November 5, 2020
Phiala Shanahan Wins 2020 Kenneth G. Wilson Award: “For excellence in the study of hadrons and nuclei in lattice QCD and for pioneering the application of machine learning and artificial intelligence techniques to lattice field theory.” International Symposium on Lattice Field Theory, October 23, 2020
Phiala Shanahan Wins 2021 Maria Goeppert Mayer Award: “For key insights into the structure and interactions of hadrons and nuclei using numerical and analytical methods and pioneering the use of machine learning techniques in lattice quantum field theory calculations in particle and nuclear physics.” American Physical Society, October 7, 2020
Phiala Shanahan Named One of Ten Scientists to Watch: Science News, September 30, 2020
Provably Exact AI for Nuclear and Particle Physics: Read about recent research by Tej Kanwar, Phiala Shanahan (IAIFI Research Coordinator for Physics Theory), and collaborators at MIT, NYU, and Google Deep Mind on using machine learning to explore fundamental forces of nature: MIT News, Physical Review Letters, September 24, 2020
Tracy Slatyer Awarded 2021 New Horizons Prize in Physics: MIT News, September 10, 2020