AI Seminars

Expert researchers and practitioners present state-of-the-art research on artificial intelligence, its applications, and its societal impact. The seminars are open to the public and recordings of past events are available. Each recording is linked at the bottom of the description for the specific seminar event page. To receive weekly notifications about upcoming seminars, send an email with "subscribe" in the subject line to ai-seminar-join@lists.engr.oregonstate.edu.

Join the live AI seminar on Zoom

 

Future Events

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Past Events

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Esther Rolf

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

Esther Rolf
Assistant professor of computer science, Univeristy of Colorado, Boulder

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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, Oregon State University

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

Erik Berg
Senior Principal Engineer, Microsoft

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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

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Serena Booth

AI Seminar: On the specification and governance of AI systems 

Serena Booth
Incoming Assistant Professor of Computer Science, Brown University

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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, Oregon State University

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Ameeta Agrawal

AI Seminar: Toward Bridging the Multilingual Divide in Language Technologies

Ameeta Agrawal
Assistant Professor of Computer Science, Portland State University

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Wenqian Dong

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

Wenqian Dong
Assistant Professor, Oregon State University

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Thien Huu Nguyen

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

Thien Huu Nguyen
Associate Professor, University of Oregon

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Fuxin Li

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

Fuxin Li
Associate Professor, Oregon State University

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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

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Daniel Lowd portrait.

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

Daniel Lowd
Professor of Computer Science, University of Oregon

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Portrait of Jacob Krantz

AI Seminar: Human-Robot Collaboration for Everyday Household Tasks

Jacob Krantz
Research Scientist, Meta

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AI Seminar: Occam Gradient Descent

AI Seminar: Occam Gradient Descent

Balas Natarajan Kausik

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Portrait of 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

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Aditi Raghunathan

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

Aditi Raghunathan
Assistant Professor of Computer Science, Carnegie Mellon University 

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Branislav Kveton

AI Seminar: Active Learning for Human Preference Elicitation in LLMs

Branislav Kveton
Adobe Research

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Zoe Ryan

AI Seminar: Introduction to Accelerated Computing with NVDIA GPUs

Zoe Ryan
Solutions Architect, NVIDIA

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Hyvärinen Aapo

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

Aapo Hyvärinen
Professor of Computer Science, University of Helsinki

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Adnan Darwiche

AI Seminar: Explainable AI with Guarantees

Adnan Darwiche
Professor of Computer Science, UCLA