Week of Events
Monday, February 2, 2026
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February 2, 2026ECE Seminar: Advanced Packaging as the Engine of the AI Systems Era
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Hybrid EventFebruary 2, 2026Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
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February 2, 2026AM Seminar: Are Graph Learning Methods Actually Learning?
ECE Seminar: Advanced Packaging as the Engine of the AI Systems Era
Presenter: Tolga Acikalin, System and Package Architect, Lumilens Description: The rapid rise of artificial intelligence and machine learning—most notably recent breakthroughs in large language models—is reshaping the trajectory of the semiconductor industry and ushering in a new era of system innovation. As performance scaling at the device level slows, heterogeneous integration (HI) has emerged as […]
Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
Presenter: Jiaqi Li, William H. Kruskal Instructor, University of Chicago Description:Modern machine learning (ML) algorithms achieve remarkable empirical success, yet providing rigorous statistical guarantees remains a major challenge, particularly in distributional theory and online inference methods. In this talk, we will introduce a novel framework to provide mathematical foundations for ML by bringing powerful tools […]
AM Seminar: Are Graph Learning Methods Actually Learning?
Presenter: Seshadhri Comandur, Professor of Computer Science, UCSC Description: There has been a lot of literature on graph machine learning over the past few years, and a bewildering array of new methods. This talk is based on a series of results making a provocative argument. Maybe many graph machine learning methods are not really that […]
Tuesday, February 3, 2026
No events on this day.
Wednesday, February 4, 2026
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Hybrid EventFebruary 4, 2026Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
Presenter: Qi Xu, Postdoctoral Researcher, Department of Statistics & Data Science, Carnegie Mellon University Description: Multi-modality data are increasingly common across science medicine and technology, such as imaging, text, sensors, and genomics. These modalities are often high dimensional or unstructured and naturally exhibit blockwise (nonmonotone) missingness where different samples observe different subsets of modalities. Such […]
Thursday, February 5, 2026
No events on this day.
Friday, February 6, 2026
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February 6, 2026GDAC Portfolio Workshop
GDAC Portfolio Workshop
Part of the GDA Conference on campus – come and learn best practices for creating a portfolio to use in the gaming industry!
Saturday, February 7, 2026
No events on this day.
Sunday, February 8, 2026
No events on this day.