The IAIFI Summer Workshop brings together researchers from across Physics and AI for plenary talks, poster sessions, and networking to promote research at the intersection of Physics and AI. We are also accepting submissions for contributed talks and/or posters.

  • The 2025 Summer Workshop will be held August 11–15, 2025
  • Location: Harvard University (Cambridge, MA)
  • Registration is now open for the 2025 IAIFI Summer Workshop; Register by July 31, 2025.

Register for the 2025 IAIFI Summer Workshop Submit a Talk/Poster by June 1, 2025

Here’s what attendees at previous IAIFI Summer Workshops had to say about the experience:

Agenda Speakers FAQ Accommodations Past Workshops

About

The Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) is enabling physics discoveries and advancing foundational AI through the development of novel AI approaches that incorporate first principles, best practices, and domain knowledge from fundamental physics. The goal of the Workshop is to serve as a meeting place to facilitate advances and connections across this growing interdisciplinary field.

Agenda

The agenda will be announced in Spring 2025.

Speakers

Speakers will be announced as they are confirmed.

Accommodations

We will share discounted hotel rates here in Spring 2025.

FAQ

  • Who can attend the Summer Workshop? Any researcher working at or interested in the intersection of physics and AI is encouraged to attend the Summer Workshop.
  • What is the cost to attend the Summer Worskhop? The registration fee for the Summer Workshop is 200 USD and includes a welcome dinner, as well as coffee breaks and snacks.
  • If I come to the Summer School, can I also attend the Workshop? Yes! We encourage you to stay for the Workshop and you can stay in the dorms for both events if you choose (at your expense).
  • Will the recordings of the talks be available? We plan to share the talks on our YouTube channel.

Submit a question or comment

2025 Organizing Committee

  • Fabian Ruehle, Chair (Northeastern University)
  • Bill Freeman (MIT)
  • Cora Dvorkin (Harvard)
  • Thomas Harvey (IAIFI Fellow)
  • Sam Bright-Thonney (IAIFI Fellow)
  • Sneh Pandya (Northeastern)
  • Yidi Qi (Northeastern)
  • Manos Theodosis (Harvard)
  • Marshall Taylor (MIT)
  • Marisa LaFleur (IAIFI Project Manager)
  • Thomas Bradford (IAIFI Project Coordinator)

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.