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.

Leslie Schoop Tapped for Leadership Role at AI-MI

Professor of Chemistry Leslie Schoop will hold a leadership role in a new U.S. National Science Foundation Artificial Intelligence Materials Institute (NSF AI-MI) scheduled to open this fall at Cornell University, marking a major investment in AI-driven materials discovery by the federal government.

CCNY joins Cornell to Accelerate AI Development

Zhigang Zhu, the Herbert G. Kayser Professor of Computer Science in The City College of New York’s Grove School of Engineering, is a co-principal investigator for a new National Artificial Intelligence Materials Institute.

Upcoming Events

AI-MI Seminar Series: Literature-Informed Agents for Drug Discovery

Seminar

Discover how researchers are using AI to extract chemical and biological data from scientific literature and patents. These large-scale datasets are enabling faster molecule design and advancing AI-driven therapeutic discovery.

AI-MI Seminar Series: From Entropy to Epiplexity – Rethinking Information for Computationally Bounded Intelligence

Seminar

What can a computationally bounded learner actually extract from data — and can that amount exceed what the generating process itself contained? In this AI-MI Seminar, NYU Professor Andrew Gordon Wilson introduces epiplexity, a new formalization of information that targets structured, learnable content and offers a principled foundation for data selection in modern AI systems.

AI-MI Seminar Series: Learning, Understanding, and Predicting Quantum Phases in Two-Dimensional Materials

Seminar

The many-electron problem has resisted solution for decades — but neural networks are changing that. In this AI-MI Seminar, Flatiron Institute's Shiwei Zhang presents a physics-inspired computational approach that has already surpassed state-of-the-art methods for two-dimensional electron systems, revealing exotic quantum phases and opening new frontiers in materials science.

AI-MI Annual Meeting

Members of the NSF AI Materials Institute will convene for the AI-MI Annual Meeting, a two-day, in-person meeting of the NSF AI Materials Institute community.