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 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: 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

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