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

There are no upcoming events scheduled. Please check back!

Events Archive

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.

AI-MI Seminar Series: Analyzing the Nonlocality of Sparse Autoencoder Features

Seminar

Sparse autoencoders are opening new pathways for interpreting large language models. This talk introduces an entropy-based measure, inspired by holographic duality, to quantify how features relate to input tokens—offering a new lens into the information dynamics of LLMs.

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 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: 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.

Notable Past Events

AI-MI Researchers Present at M2S 2026 in Stuttgart

Two AI-MI researchers were on the program at M2S 2026 , the flagship international conference on the materials and mechanisms of superconductivity, held in Stuttgart July 19–25. AI-MI Director Eun-Ah Kim (Cornell University) gave an invited talk,…

AI-MI at ICML 2026, Part II

AI-MI researchers continued to make their mark at the International Conference on Machine Learning (ICML 2026) in Seoul. Kilian Weinberger, serving as ICML 2016 program co-chair, led the selection process for this year’s Test of Time Award; his…

More Notable Events