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.
Announcing the IAIFI Colloquium Series: We recently launched our biweekly virtual colloquium series! For the spring semester, we will showcase IAIFI researchers; see our events page for a full list of talks. The next talk is on Thursday, February 18, 2021, when Pulkit Agrawal will talk about “Challenges in Real World Reinforcement Learning”. Sign up for our mailing list to receive the Zoom link. If you missed Phiala Shanahan’s colloquium, you can watch the recording on our YouTube channel.
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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