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.
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Future Events
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Past Events
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
Zoom and LINC 302
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
Zoom and LINC 302
AI Seminar: Creating Durable Value with Generative AI in Silicon Engineering
Erik Berg
Senior Principal Engineer, Microsoft
KEC 1005 and Zoom
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
Kelley 1001
AI Seminar: On the specification and governance of AI systems
Serena Booth
Incoming Assistant Professor of Computer Science, Brown University
Zoom and LINC 302
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
Zoom and LINC 302
AI Seminar: Toward Bridging the Multilingual Divide in Language Technologies
Ameeta Agrawal
Assistant Professor of Computer Science, Portland State University
Zoom and LINC 302
AI Seminar: Accelerating HPC Applications Using Machine Learning-based Surrogates
Wenqian Dong
Assistant Professor, Oregon State University
Zoom and LINC 302
AI Seminar: Efficiently Adapting Large Language Models for Safety, Multilinguality, and Long Context
Thien Huu Nguyen
Associate Professor, University of Oregon
LINC 302 and Zoom
AI Seminar: From Sparse to Dense, and Back to Sparse Again?
Fuxin Li
Associate Professor, Oregon State University
LINC 302 and Zoom
AI Seminar: New Frontiers of Deep Learning for Large-Scale Spatiotemporal Data
Rose Yu
Associate Professor, Computer Science and Engineering, UC San Diego
BEXL 102 and Zoom
AI Seminar: The Manchurian Classifier: Invisible Triggers and Vulnerabilities in Text Models
Daniel Lowd
Professor of Computer Science, University of Oregon
KEC 1001 and Zoom
AI Seminar: Human-Robot Collaboration for Everyday Household Tasks
Jacob Krantz
Research Scientist, Meta
KEC 1001 and Zoom
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
KEC 1001 and Zoom
AI Seminar: Understanding the promises and limits of fine-tuning
Aditi Raghunathan
Assistant Professor of Computer Science, Carnegie Mellon University
KEC 1001 and Zoom
AI Seminar: Active Learning for Human Preference Elicitation in LLMs
Branislav Kveton
Adobe Research
KEC 1001 and Zoom
AI Seminar: Introduction to Accelerated Computing with NVDIA GPUs
Zoe Ryan
Solutions Architect, NVIDIA
KEC 1001 and Zoom
AI Seminar: Painful intelligence: What AI can tell us about human suffering
Aapo Hyvärinen
Professor of Computer Science, University of Helsinki
KEC 1001 and Zoom
AI Seminar: Explainable AI with Guarantees
Adnan Darwiche
Professor of Computer Science, UCLA
KEC 1001