Community Book Club: Dark Days Ahead
Are you looking to connect with others? Do you love reading all kinds of books? If you answered yes, the Community Book Club is for you! The March book is Dark Days Ahead by Natalie Docherty. For...
Are you looking to connect with others? Do you love reading all kinds of books? If you answered yes, the Community Book Club is for you! The March book is Dark Days Ahead by Natalie Docherty. For...
Speaker: Weiqi Chu , assistant professor of mathematics and statistics, University of Massachusetts Amherst . . Title: A Model Reduction Framework for Electron Transport in Extended Quantum Systems...
The Office of Community Affairs and Outreach Programs in partnership with Borderless Studio will present Beyond Closure, a documentary film created by On the Real Film and Borderless which retraces...
Are you looking for ways to meet new people, practice your communication skills, learn about different cultures, and enjoy free pizza? Join us for our weekly SPEAK: Conversation Group meetings every...
Speaker: Zhuoran Lu, Ph.D. candidate, Purdue University Title: Accounting Individual Cognition and Social Influence for Better Human-AI Collaboration Abstract: Artificial intelligence (AI)...
Speaker: Fred J. Hickernell, Department of Applied Mathematics, Illinois Institute of Technology Title: Adaptive Algorithms where Input Functions Lie in Cones Abstract: Adaptive numerical algorithms...
Join us to celebrate Women鈥檚 History Month as we work to improve Wikipedia entries for women notable for their work in science, technology, engineering, arts, and math (STEAM) fields. Wikipedia edit-a...
The Department of Mechanical, Materials, and Aerospace Engineering presents their spring 2025 seminar series featuring guest speaker Ersin Da艧, a postdoctoral scholar in mechanical and civil...
Speaker: Andrzej Ruszczy艅ski, Board of Governors Professor of business, Rutgers University Title: A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization Abstract: We...
Speaker: Nathaniel Hudson, postdoctoral researcher, University of Chicago Abstract: Conventional solutions for training and serving AI models rely on centralized systems (e.g., HPC clusters, data...