AI Seminars

Explore groundbreaking advancements in artificial intelligence, engage with thought leaders, and gain insights into the future of AI.

Join the AI Seminar virtually

Most of our AI seminars are available virtually. On the day of the event, you can watch via the Zoom link below. Archived videos are typically available within a week of each seminar.

Upcoming Seminars

 

Get notified about future seminars

Subscribe to the AI Seminar mailing list to receive announcements of upcoming events. To subscribe, send an email with "subscribe" in the subject line to:

Past Events

2025 to present

 

Seminars prior to 2025/26 academic year

Michael J. Quinn

AI Seminar: Self-Driving Vehicles: A Cautionary Tale

Michael J. Quinn

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

Yejin Choi

AI Seminar: Possible Impossibilities and Impossible Possibilities

Yejin Choi

Sriraam Natarajan

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

Sriraam Natarajan

Jonathan Ferrer Mestres

AI Seminar: Towards more interpretable solutions for conservation problems

Jonathan Ferrer Mestres

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

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

Harsha Kokel

AI Seminar: Integrated Planning and Reinforcement Learning for Compositional Domains

Harsha Kokel, Research Scientist

IBM Research

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

OSU Crest.

AI Seminar: Designing Interactive AI for Writers

Ken Arnold, Assistant Professor

Calvin University

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

Sandhya Saisubramanian.

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

Sandhya Saisubramanian, Assistant Professor

Electrical Engineering and Computer Science

V John Mathews

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

V John Mathews

Professor, Electrical and Computer Engineering

Sanghyun Hong

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

Sanghyun Hong

Assistant Professor, Computer Science

AI Seminar: The mathematics of neural networks: recent advances, thoughts, and the path forward

Mikhail Belkin, Professor

University of California, San Diego

Yuke Zhu

AI Seminar: The Data Pyramid for Building Generalist Agents

Yuke Zhu, Assistant Professor

UT-Austin

AI Seminar: AI can learn from data. But can it learn to reason?

Guy Van den Broeck

University of California at Los Angeles

Xiaoli Fern

AI Seminar: Microbial "Language" Model: Using Natural Language Processing Techniques to Understand Microbiomes

Xiaoli Fern, Associate Professor

Computer Science, ¾«¶«Ó°ÊÓ State University

AI Seminar: Symbols as a Lingua Franca for Supporting Human-AI Interaction For Explainable and Advisable AI Systems

Subbarao Kambhampati

Professor, Arizona State University

AI Seminar: Seeing outside the image: Space and time completion for video tracking and scene parsing

Katerina Fragkiadaki

Assistant Professor, Machine Learning Department, Carnegie Mellon University