Artificial Intelligence Materials Institute
Artificial Intelligence Materials Institute

Events Calendar

Upcoming workshops, seminars, and convenings from AI-MI, bringing together researchers and partners to explore advances at the intersection of AI and materials science.

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.

Events Archive

AI-MI Seminar Series: Polymer Biomaterials in a Self-Driving Lab

Seminar

Join us in learning how a self-driving biomaterials lab powered by AI and automation is transforming material design to better integrate with biological systems, presented by Adam Gormley, Associate Professor of Biomedical Engineering at Rutgers University.

AI-MI Seminar Series: An artificial intelligence era of magnetism

Seminar

Join Professor Jiadong Zang as he explores how large language models are being used to build a growing database of 30,000 + magnetic materials, accelerating discovery across magnetism, superconductors & thermoelectrics. 

AI-MI Retreat

New York City

The first in person AI-MI internal meeting in NYC.

Notable Past Events

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.

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.

More Notable Events