Showcase your work at the Research Bazaar! Submit your presentation proposal by Jan. 15.
Events
NSF HDR ML Challenge
Participants will tackle one of the most exciting frontiers in scientific research: anomaly detection. DSI and WIPAC hosted the Dec. 4 kickoff meeting.
The Thinking Game
WUD Film and DSI presented a free screening of The Thinking Game on Dec. 5 in the Union South Marquee Theater.
AI for Science Seminar
François Charton, a research engineer at Meta AI, spoke on “AI for the Working Mathematician” on Nov. 20.
Sustainability Symposium
The UW–Madison Sustainability Symposium on 10/23 featured a keynote by Dr. Sara Beery on AI and sustainability.
MadPrompts
The 2nd annual MadPrompts prompt battle was part of the Wisconsin Science Festival on October 16.
How Open Source is Fostering Innovation in AI
The Open Source Program Office (OSPO) and the Data Science Institute (DSI) hosted a panel discussion on How Open Source is Fostering Innovation in AI during Innovate Week, Thursday, September 26, 2024. The presentations and panel discussion explored the transformative role of open source technologies in advancing the AI landscape.
Discover the Data Science Institute at the UW 175th Anniversary Open House
Join us Friday, April 5 from 1-3 for demonstrations of AI and data science. You can play with generative AI tools, check out visualizations of research data, learn about open-source software, and experience our interactive campus networking tools such as our community maps.
Register for the Research Bazaar by Jan 30
UW–Madison’s Data Science Hub is hosting the 5th annual Research Bazaar on February 7 and 8, 2024 at the Discovery Building. With an overarching theme of Data in Action, the Research Bazaar is a place to build community and technical know-how.
Michele Ceriotti will speak on integrated machine learning models for chemistry
Dr. Michele Ceriotti, Associate Professor at the École Polytechnique Fédérale de Lausanne, will speak on campus Thursday, October 5, 4-5 pm. His talk will address ways that physical-chemical ideas can be integrated into a machine-learning framework.