AI Seminars

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Future Events

No Events scheduled. Check again soon.

Past Events

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Cass Dykeman

AI Seminar: AI-related Research in Education and Counseling

Cass Dykeman

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Heather Knight

AI Seminar: Best Practices for Robot Death

Heather Knight

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Jennifer Dy

AI Seminar: Learning Interpretable Models on Complex Medical Data

Jennifer G. Dy

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Syrine Belakaria

AI Seminar: New Frontiers In Adaptive Experimental Design For Multi-objective Optimization

Syrine Belakaria

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Yi Ma

AI Seminar: The Past, Present, and Future of Artificial Intelligence: from black-box to white-box, from open-loop to closed-loop

Yi Ma

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Scott Sanner

AI Seminar: Symbolic AI 3.0 (S3): Rise of the LLMs

Scott Sanner

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Michael J. Quinn

AI Seminar: Self-Driving Vehicles: A Cautionary Tale

Michael J. Quinn

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Sriraam Natarajan

AI Seminar: Enhancing healthcare with AI-in-the-loop

Sriraam Natarajan

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Jonathan Ferrer Mestres

AI Seminar: Towards more interpretable solutions for conservation problems

Jonathan Ferrer Mestres

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Yejin Choi

AI Seminar: Possible Impossibilities and Impossible Possibilities

Yejin Choi

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Sameer Singh

AI Seminar: Lipstick on a Pig: Using Language Models as Few-Shot Learners

Sameer Singh, Associate Professor of Computer Science
University of California, Irvine

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Raviv Raich

AI Seminar: Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Raviv Raich, Associate Professor
Electrical and Computer Engineering

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Harsha Kokel

AI Seminar: Integrated Planning and Reinforcement Learning for Compositional Domains

Harsha Kokel, Research Scientist
IBM Research

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Tom Dietterich

AI Seminar: What's wrong with LLMs and what we should be building instead

Thomas G. Dietterich, Distinguished Professor Emeritus
School of Electrical Engineering and Computer Science

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cory simon

AI Seminar: A tutorial on the Bayesian statistical approach to inverse problems

Cory Simon
Assistant Professor, School of Chemical, Biological, and Environmental Engineering

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Portrait of Sandhya Saisubramanian

AI Seminar: Planning and Learning for Reliable Autonomy in the Open World

Sandhya Saisubramanian, Assistant Professor
Electrical Engineering and Computer Science

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Placeholder for Sahar Beheshti Zavareh

AI Seminar: Designing Interactive AI for Writers

Ken Arnold, Assistant Professor
Calvin University

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V John Mathews

AI Seminar: Some Perspectives on Stochastic Gradient Learning and an Application in Neuroprosthesis

V John Mathews
Professor, Electrical and Computer Engineering

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Sanghyun Hong

AI Seminar: Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning

Sanghyun Hong
Assistant Professor, Computer Science

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Yuke Zhu

AI Seminar: The Data Pyramid for Building Generalist Agents

Yuke Zhu, Assistant Professor
UT-Austin