Events

Join Erik Thiede, Assistant Professor of Chemistry at Cornell, will explore how researchers are combining molecular simulation, machine learning, and electron microscopy to better understand structural heterogeneity in complex chemical systems. The talk will highlight new algorithms that integrate computational models with experimental imaging to uncover hidden states in biomolecules and materials—helping bridge the gap between design and function at the nanoscale.

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. The meeting will feature research updates across the institute, student and trainee spotlights, focused discussions on shared challenges and opportunities, and dedicated time for networking and collaboration. We welcome faculty, staff and students to connect, align on priorities, and accelerate progress toward AI-enabled materials discovery.

Join the AI-MI Seminar Series on 03/26 at 3:00 PM ET with Jake Gardner, Assistant Professor at the University of Pennsylvania, for “Literature-Informed Agents for Drug Discovery.”Explore how AI can extract chemical and biological knowledge from scientific literature to build large-scale datasets for molecule and protein design—accelerating drug discovery and AI-driven therapeutic development. Watch live on YouTube: www.youtube.com/@AIMaterialsInstitute

Informed by Resilient Cornell, the CEMI project, and the best thought about change across Cornell, Future of Work II: Shaping What’s Next will provide the setting for conversation and connection.

Undergraduate Perspectives on the AI Disruption. Speakers include Kashyap Rajesh, Info Sci Major, VP at Encode, Youth Fellow at Rithm ProjectCristobal Ramirez, Comparative Literature majorNoga Yangzom, STS MajorPlus students from the Milstein Program

Join the next AI-MI Seminar Series on 04/09 at 3:00 PM ET with Andrew Wilson, Professor at Courant Institute, NYU. A new theory of “epiplexity” explains how computationally bounded learners can extract—and even create—useful structure from data, resolving paradoxes in classical information theory and offering a foundation for evaluating and improving datasets. Watch live on YouTube: www.youtube.com/@AIMaterialsInstitute

Join us in New York City for a timely conversation on AI and sustainability with Cornell faculty and leading voices from industry and policy. As AI advances, it is unlocking new ways to tackle complex sustainability challenges while also introducing significant environmental and societal risks. This panel will explore why managing both sides of this equation is critical for leaders across sectors: from big nature data analysis and improving the efficiency of AI to pressure on power grids and the need for responsible AI application. Panelists will highlight key opportunities, emerging risks, and what leaders, donors, and innovators need to […]

What are the specific implications of AI for people living in the Global South? Keynote speakers from a range of disciplines will focus on specific themes. Taking a holistic perspective that considers the historical, socio-cultural, environmental, and political economic context in which AI is embedded in and entangles with the Global South.

Join the AI Innovation Hub for our Spring 2026 Demo Day! We will feature the latest AI solutions developed in collaboration with campus partners and students. Built for Cornell’s unique needs, we will present custom cutting-edge tools, from agentic workflow automation to AI assistants that improve human decision making