ANNOUNCEMENT: The registration to participate in the hack-a-thons is closed as of June 1st. Registration to attend plenary sessions only is open until July 5, 2021.
about
Organized by
NSF AI Planning Institute for Data-Driven Discovery in Physics at Carnegie Mellon University
Focus
recent progress in AI/ML method development and application to high energy physics and cosmology
Networking
formation of new collaborations despite the virtual format
Description
Each day of the conference will open with two plenary talks at 11 a.m. and 12:15 p.m. EST on recent progress in AI/ML method development and application to high energy physics and cosmology. These talks will be followed by daily Gathertown chat opportunities to support networking and community building and hack-a-thons engaging students, postdocs, and other interested participants to work on data problems of common interest provided by plenary speakers and other participants. The goal of these hack-a-thons is to promote engagement, learning, and the formation of new collaborations despite the virtual format.
To facilitate the hack-a-thons, we will host datasets and provide computing environments for conference participants through a partnership with the Pittsburgh Supercomputing Center.
Registration may be limited in order to ensure we have adequate support to enable all participants to engage effectively in the hack-a-thon. You should hear back in response to your registration by June 1, 2021.
Featuring
Katie Bouman
Caltech
Kyle Cranmer
New York University
Tommaso Dorigo
INFN-Padova
Francois Lanusse
CEA Saclay
Jennifer Ngadiuba
Fermilab
Brian Nord
Fermilab
Harrison Prosper
Florida State University
Aarti Singh
CMU Machine Learning
Ben Wandelt
Sorbonne/Flatiron
…and more to come!