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

 

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Past Events

2025 to present

 

Seminars prior to 2025/26 academic year

Jinjun Xiong

AI Seminar: Reinventing Higher Education with Early AI

Jinjun Xiong

Empire Innovation Professor, Department of Computer Science and Engineering, University at Buffalo

Esther Rolf

AI Seminar: Earth Embeddings: Harnessing the Information in Earth Observation Data with Machine Learning

Esther Rolf

Assistant professor of computer science, University of Colorado, Boulder

Alireza Aghasi

AI Seminar:  A Randomized and Provably Easy Construction of High-Accuracy Binary/Quantized Neural Networks

Alireza Aghasi

Associate Professor, School of Electrical Engineering and Computer Science, ¾«¶«Ó°ÊÓ State University

OSU Crest.

AI Seminar: Creating Durable Value with Generative AI in Silicon Engineering

Erik Berg

Senior Principal Engineer, Microsoft

OSU Crest.

AI Seminar: Machine learning-guided discovery of DNA-stabilized nanoclusters for bioimaging and photonics

Stacy Copp

Assistant Professor of Materials Science and Engineering, University of California, Irvine

Serena Booth

AI Seminar: On the specification and governance of AI systems 

Serena Booth

Incoming Assistant Professor of Computer Science, Brown University

Karthika Mohan

AI Seminar: When Can You Pretend Data Are IID (Even If They’re Not), and What to Do When You Can’t

Karthika Mohan

Assistant professor of computer science, ¾«¶«Ó°ÊÓ State University

Ameeta Agrawal

AI Seminar: Toward Bridging the Multilingual Divide in Language Technologies

Ameeta Agrawal

Assistant Professor of Computer Science, Portland State University

Wenqian Dong

AI Seminar: Accelerating HPC Applications Using Machine Learning-based Surrogates

Wenqian Dong

Assistant Professor, ¾«¶«Ó°ÊÓ State University

Thien Huu Nguyen

AI Seminar: Efficiently Adapting Large Language Models for Safety, Multilinguality, and Long Context

Thien Huu Nguyen

Associate Professor, University of ¾«¶«Ó°ÊÓ

Fuxin Li

AI Seminar: From Sparse to Dense, and Back to Sparse Again?

Fuxin Li

Associate Professor, ¾«¶«Ó°ÊÓ State University

Rose Yu

AI Seminar: New Frontiers of Deep Learning for Large-Scale Spatiotemporal Data

Rose Yu

Associate Professor, Computer Science and Engineering, UC San Diego

Daniel Lowd.

AI Seminar: The Manchurian Classifier: Invisible Triggers and Vulnerabilities in Text Models

Daniel Lowd

Professor of Computer Science, University of ¾«¶«Ó°ÊÓ

Jacob Krantz.

AI Seminar: Human-Robot Collaboration for Everyday Household Tasks

Jacob Krantz

Research Scientist, Meta

AI Seminar: Occam Gradient Descent

AI Seminar: Occam Gradient Descent

Balas Natarajan Kausik

Eldan Cohen.

Towards Intrinsically Explainable Clustering Algorithms

Eldan Cohen

Assistant Professor of Industrial Engineering at The University of Toronto and the director of the Optimization and Machine Learning (OptiMaL) Lab

Aditi Raghunathan

AI Seminar: Understanding the promises and limits of fine-tuning

Aditi Raghunathan

Assistant Professor of Computer Science, Carnegie Mellon University 

Branislav Kveton

AI Seminar: Active Learning for Human Preference Elicitation in LLMs

Branislav Kveton

Adobe Research

Hyvärinen Aapo

AI Seminar: Painful intelligence: What AI can tell us about human suffering

Aapo Hyvärinen

Professor of Computer Science, University of Helsinki

Zoe Ryan

AI Seminar: Introduction to Accelerated Computing with NVIDIA GPUs

Zoe Ryan

Solutions Architect, NVIDIA