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.
View our full events calendar for all upcoming events.
Registration for IAIFI Workshop (August 8-9, 2022) is now open for in-person and virtual attendance; Registration closed for IAIFI Summer School (August 1-5, 2022). The IAIFI Summer School and Workshop will be held at Tufts University. Learn more about the Summer School and Workshop!
IAIFI Colloquium Series will return in Fall 2022. Our biweekly virtual colloquium series for Spring 2022 has concluded. Catch up on the talks you missed on our YouTube channel and sign up for our mailing list to receive updates on upcoming series.
Jesse Thaler joins CACM and AI Institute leaders for virtual panel discussion: Watch the virtual panel discussion hosted by Communications of the ACM on February 1, 2022 to discuss how science and AI are transforming each other, featuring IAIFI Director Jesse Thaler, Anima Anandkumar (NVIDIA Director of ML Research), Vikram Adve (Director, AIFARMS National AI Institute), and Amy McGovern (Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography).
IAIFI researchers’ model-free reinforcement learning system breaks the record for fastest robotic mini cheetah run recorded: Featured in MIT News and NSF Science Now, IAIFI Fellow Ge Yang, Senior Investigator Pulkit Agrawal, and collaborator Gabriel Margolis trained the robot in simulation under variable conditions, which made it more robust when deployed in the real world—a strategy expected to be relevant for making real-time adjustments in the operation of experiments to maximize the physics reach. March 22, 2022
IAIFI welcomes UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (AIMLAC): IAIFI hosted 15 AIMLAC students and faculty for an informal workshop March 2 through March 4, 2022, where the two groups shared research and education strategies, and had opportunities for networking. March 4, 2022
Second Round of IAIFI Fellows Announced: The next round of IAIFI Fellows (2022-2025), Denis Boyda, Carolina Cuesta, and Jessie Micallef, will join us later in 2022 and help spark vital interdisciplinary research at the intersection of Physics and AI! January, 28, 2022
IAIFI Senior Investigator Phiala Shanahan receives 2021 Wu-Ki Tung Award for Early Career Research on QCD: Phiala was recognized “for pioneering studies of long-wavelength and nuclear non-perturbative QCD effects in discretized space and time, and for applications of machine learning to lattice field theory.” January 24, 2022
IAIFI Junior Investigator Harold Erbin receives MIT Infinite Expansion Award: Harold was selected as one of the recipients of MIT’s Infinite Expansion Award for 2022 because of his “exemplary service on the IAIFI Early Career and Equity Committee” and being “actively involved in many other IAIFI community building efforts.” January 10, 2022
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. October 29, 2021
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