At the National Science Foundation’s HDR ML Challenge, the brightest minds in machine learning and data science will tackle one of the most exciting frontiers in scientific research: anomaly detection. Participants will push the boundaries of what ML can achieve as they uncover unexpected events that don’t fit the usual patterns in data. The challenge: develop algorithms that can identify subtle differences and anomalies across three provided datasets. The winner will be flown to the Association for the Advancement of Artificial Intelligence (AAAI) workshop in Philadelphia and receive a cash prize!
We are holding a kickoff meeting on December 4, 11-2, in McArdle 1109. Pizza will be provided. At this meeting, you will:
- Learn about the challenge and the three datasets
- Learn how to use the software for this challenge (CodaBench)
- Meet other interested people and form a team, if desired
Register today! Pre-registration is required, and space is limited. Registration closes December 3 at noon, or earlier if workshop registration reaches capacity.
The NSF HDR ML Challenge is open to UW–Madison students, postdocs, faculty and staff, as well as members of the broader community. Learn more about this challenge at the NSF HDR Community website.