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 is advancing physics knowledge – from the smallest building blocks of nature to the largest structures in the Universe – and galvanizing AI research innovation. The IAIFI is a collaboration of both physics and AI researchers at MIT, Harvard, Northeastern, and Tufts. Learn more about our research at the Physics/AI intersection and about our IAIFI Fellows program.


Applications for the 2022-2025 IAIFI Fellowship are now closed. Updates on future competitions will be provided on the IAIFI Fellows page. You can also Sign up for our mailing list to receive announcements for future competitions.

IAIFI Events

View our full events calendar for all upcoming events.

IAIFI Colloquium Series continues December 10 at 2:00 pm ET: Our biweekly virtual colloquium series will continue on Friday, December 10, 2021 at 2:00 pm ET with a presentation from Kazuhiro Terao on “Machines to find ghost particles in big data”! Watch on our YouTube channel. Every other Friday throughout the semester, the series will showcase researchers working at the intersection of AI and Physics. Sign up for our mailing list to receive updates on the series..

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For an archive of IAIFI news, see our news page.

IAIFI Senior Investigator Pulkit Agrawal and collaborators receive Best Paper Award at Conference on Robot Learning: The paper was chosen for “The sheer scope and variation across objects tested with this method, and the range of different policy architectures and approaches tested.” Read “A System for General In-Hand Object Re-Orientation”, November 12, 2021

IAIFI Senior Investigator Philip Harris establishes NSF-Funded Institute with collaborators: Philip Harris will serve as Deputy Director of the Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute, using Artificial Intelligence to accelerate discoveries in physics, astronomy, and neuroscience.

IAIFI Fellow Siddharth Mishra-Sharma and Senior Investigator Phiala Shanahan interviewed for Nature Careers: Read “How AI is helping the natural sciences”, October 13, 2021

Jesse Thaler argues that particle physicists must go beyond deep learning and design AI capable of deep thinking: Read his opinion piece in the CERN Courier, September 2, 2021

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