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.
Schlom elected to National Academy of Sciences
Darrell Schlom, materials scientist and AI-MI member, has been elected to the National Academy of Sciences — among the highest honors in U.S. science.
AI-MI study tests large language models as “world models” for high-Tc superconductivity
The first study out of the AI Materials Institute, led by Director Eun-Ah Kim, tests how well large language models grasp the scientific literature.
AI-MI Researchers Featured at AI4X 2026 in Singapore
AI-MI Director Eun-Ah Kim (Cornell) delivered a plenary talk — “Learning Quantum Matter from Data: Data-Centric AI for Scientific Discovery” — at the AI4X 2026 conference in Singapore. The plenary session was chaired by Yong Tao Tan. AI-MI Senior Investigator Keith...
AI-MI Summer Undergraduate Research Program Kicks Off for 2026
The AI-MI Summer Undergraduate Research Program (SURP) began its 10-week run on June 1, 2026, running through August 7. The program offers two tracks — SURP Materials Track, run jointly with Cornell's CHESS REU program, and SURP AI Track conducted in collaboration...
Kilian Weinberger Delivers Keynote at Cornell Tech’s Inaugural Frontiers of AI Summit
AI-MI faculty member Kilian Weinberger, professor of computer science at Cornell, gave a keynote — "Think Before You Speak: Next-Gen LLMs with Global Reasoning and External Memory" — at the inaugural Frontiers of AI Summit on May 27, 2026, held at Cornell Tech's...
AI-MI Community Convenes for 2026 Annual Meeting
Members of the NSF Artificial Intelligence Materials Institute gathered May 19–20, 2026 for the AI-MI Annual Meeting, a two-day, in-person convening of the institute's community across its partner institutions.
AI-MI Marks Milestone with Launch of New NVIDIA-Powered Computing Cluster
AI-MI marks a major milestone with the launch of a new NVIDIA-powered computing cluster, significantly expanding its capacity for AI-driven materials research. The new infrastructure enables rapid, on-desk development and supports researchers across the AI-MI network in tackling complex scientific challenges.
Watch our AI-MI Seminar Series talks, live on YouTube!
This bi-weekly series brings together leading researchers at the intersection of artificial intelligence, machine learning, and materials science. It highlights advances in AI-enabled discovery and data-driven materials research while fostering interdisciplinary...
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.