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

AI Seminar: Data Science Consulting at AWS

Patrick Roberts and Neville Mehta

AWS

Iadine Chades.

AI Seminar: Developing AI Decision Tools for Conservation

Iadine Chades

Principal Research Scientist, CSIRO

Chirag Shah.

AI Seminar: Responsibility in AI for Fair and Transparent Search and Recommender Systems

Chirag Shah

Professor, Information School, University of Washington

AI Seminar: Reinforcement Learning with Exogenous States and Rewards

George Trimponias

Sr. Applied Scientist, Amazon

Anurag Koul.

AI Seminar: Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Anurag Koul

PostDoctoral Researcher, Microsoft Research (New York)

Huazheng Wang.

AI Seminar: Vulnerability and Robustness of Linear Bandits

Huazheng Wang

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

Elias Bareinboim.

AI Seminar: Causal Inference and Data Fusion

Elias Bareinboim

Associate Professor, Department of Computer Science, Director, Causal Artificial Intelligence Laboratory, Columbia University

AI Seminar: AI and O.R. for Environmental Sustainability

Bistra Dilkina

Associate Professor of Computer Science, Co-Director, USC Center of AI in Society, University of Southern California

Xiao Fu.

AI Seminar: Understanding Multiview and Self-Supervised Representation Learning: A Nonlinear Mixture Identification Perspective

Xiao Fu

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

Sridhar Mahadevan.

AI Seminar: Universal Representations for AI

Sridhar Mahadevan

Director, Adobe Research, Research Professor, University of Massachusetts, Amherst

AI Seminar: Enabling Humans and Robots to Predict the Other’s Behavior from Small Datasets

Vaibhav Unhelkar

Assistant Professor of Computer Science, Rice University

AI Seminar: Toward Addressing Evaluation and Explanation Challenges in Scientific ML Applications

Shusen Liu

Research Scientist, Machine Intelligence Group, Lawrence Livermore National Laboratory

Sinisa Todorovic

AI Seminar: Few-Shot Object Segmentation

Sinisa Todorovic

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

AI Seminar: Graphical Models for Handling Data that may be Incomplete or Non-iid

Karthika Mohan and Chi Zhang

AI Seminar: Probabilistic Planning through the Lens of Approximate Inference

Roni Khardon

Professor, Department of Computer Science, Indiana University, Bloomington

AI Seminar: Building neural networks that know what they don’t know

Balaji Lakshminarayanan

Staff Research Scientist, Google Brain

Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning

Brian Wood

Professor, Chemical, Biological, and Environmental Engineering, ¾«¶«Ó°ÊÓ State University

AI Seminar: Human-AI Collaboration for Interactive Image Editing and Machine Autonomy

Bolei Zhou

Assistant Professor, Computer Science, University of California, Los Angeles

Charismatic Robots in Everyday Human Spaces

Heather Knight

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

AI Seminar: Distributional Kernels: an under-utilized resource

Kai Ming Ting

Professor, School of Artificial Intelligence, Nanjing University