News & Events
News, updates, and upcoming events from AI-MI highlighting research advances, partnerships, and people accelerating AI-driven materials discovery for energy, sustainability, and quantum technologies.
Upcoming NVIDIA GTC Session with Eun-Ah Kim
Visionary thought leaders Eun-Ah Kim (Cornell University) and Marinka Zitnik (Harvard Medical School) join AI conference NVIDIA GTC to share how their research teams are applying robust, domain-specific AI frameworks to reshape the future of their fields.
Sneak Peek: AI-MI’s New Computing Units
It is shiny hardware moment for AI-MI, as three golden NVIDIA-powered computing units have arrived and are now installed at their new home at AI-MI.
Two Summer Research Opportunities for Undergrads
Join a cross-disciplinary summer program uniting AI, data science, and materials research through mentored projects, seminars, and real-world discovery! The AI-MI Summer Undergraduate Research Program has two tracks building upon new collaborations between the NSF...
Now Recruiting Institute Postdocs!
AI-MI seeks postdoctoral researchers to drive rapid, AI-enabled discovery of next-generation materials for energy, sustainability and quantum technologies. Join our interdisciplinary team advancing reproducible, data-centric materials science.
Eun-Ah Kim Speaks at John Hopfield Event
John Hopfield’s 2024 Nobel Prize inspires a three-day event exploring his impact on AI, physics, cognition, and biology through a two-day workshop on learning and intelligence and a final-day symposium on life and matter.
AI-MI Retreat
The AI-MI Retreat in New York City on November 8, 2025 marked our first in-person AI-MI internal meeting.
AI-MI Directors Participate in Conference With all NSF AI Institutes
The Summit for AI Institutes Leadership (SAIL) 2025 conference, October 21–23, 2025 marked the first time for all AI-MI Directors to participate in conference with all NSF AI Institutes.
Brown Joins Cornell to Bring Expertise to AI Materials Institute
Professor Keith Brown (ME, MSE, Physics) will lead BU’s involvement in the institute. Brown is perhaps best known for his Bayesian experimental autonomous researcher (BEAR) system, a self-driving lab that combines machine learning, robotics, additive manufacturing, and mechanical testing.
Princeton Joins Cornell as Partner for new NSF-Funded AI Materials Institute
In partnership with the technology company Intel, the NSF’s new Institute creates a coalition of scientists, materials researchers and data scientists from Cornell, Princeton, the City College of the City University of New York and Boston University.