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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. |
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Over two days of programming with some of the biggest names in health, AI, and technology, attendees will emerge with an actionable roadmap for successful innovations in healthcare. |
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Is generative AI transforming the scientific enterprise—and if so, how? What enduring effects will these changes have, particularly at a moment when scientific inquiry is more essential than ever for addressing global challenges? And how can scientists and science policymakers best prepare for—and shape—these transformations? This four-day symposium takes these questions head-on through a sequence of talks, public panels, and discussions, covering topics including
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One promising application of AI in educational settings is the generation of individualized feedback that can support learners in their learning process, even for complex tasks such as writing essays. In this talk, Jennifer Meyer, Assistant Professor for Educational Diagnostics and Counselling in Schools at the Centre for Teacher Education at the University of Vienna, will present empirical results on the effectiveness of AI-generated feedback, the role of learners’ individual differences for feedback engagement, learner perceptions of AI-generated feedback compared to human feedback, as well as the effects of hallucinated feedback on student learning outcomes. |
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AI’s rapid growth is accelerating discovery and industry—and expanding energy, water, and materials footprints from devices to data centers. Sustainable AI & Computing asks a central question: How do we realize AI’s benefits while reducing its environmental impact and resource use? Join the Cornell Atkinson Center for Sustainability for a faculty‑focused Topical Lunch on Sustainable AI & Computing. Share a two‑minute lightning talk on your research or collaboration idea, meet colleagues across disciplines, and explore opportunities for projects co‑developed with external partners (industry, public sector, NGOs) to drive measurable, real‑world impact. This session will help faculty: Connect with peers across colleges and disciplines Share […] |
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Join us for an inspiring, high-impact, event featuring distinguished Cornell alumni and faculty, leading corporate partners, dynamic and thought-provoking panel discussions, and a hands-on interactive workshop. Connect with industry experts, expand your network, and gain real-world insights in an engaging, collaborative environment.
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A Humanities Lab roundtable with Nina Beguš (Berkeley), Laurent Dubreuil (Cornell), and W. Starr (Cornell), moderated by Jacob Matthews (Cornell). This event is co-sponsored by the Cornell AI Initiative, and the French Studies Program. |
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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. |
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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. |
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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 |
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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. |
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