2020 Accelerated Artificial Intelligence for Big-Data Experiments Conference
2020 Accelerated Artificial Intelligence for
Big-Data Experiments Conference
October 19-21, 2020
This event will be virtual
This conference will present an overview of recent efforts in multi-messenger astrophysics, high energy physics, and astronomy to harness innovation in artificial intelligence and large-scale computing to enable and accelerate scientific discovery in the big-data era, and will serve as a platform to create synergies between disparate communities that share similar computational challenges that may be addressed through innovative applications of artificial intelligence and extreme scale computing.
Scientific Organizing Committee
- Eliu Huerta (chair), University of Illinois at Urbana-Champaign
- Andreas Faisst, California Institute of Technology
- Brad Whitmore, Space Telescope Science Institute
- Brendan McGinty, University of Illinois at Urbana-Champaign
- Daniel S. Katz, University of Illinois at Urbana-Champaign
- Elise Jennings, Irish Center for High-End Computing
- Erik Katsavounidis, Massachusetts Institute of Technology
- Janice Lee, California Institute of Technology
- Javier Duarte, University of California San Diego
- Judith Hill, Oak Ridge National Lab
- Margaret Johnson, University of Illinois at Urbana-Champaign
- Philip Harris, Massachusetts Institute of Technology
- Raffaella Margutti, Northwestern University
- Sinan Deger, California Institute of Technology
- Vlad Kindratenko, University of Illinois at Urbana-Champaign
- Zhizhen Zhao, University of Illinois at Urbana-Champaign
Local Organizing Committee
- Pam Joop, NCSA/University of Illinois at Urbana-Champaign
- Melanie Moore, NCSA/University of Illinois at Urbana-Champaign
This workshop is funded by the NSF through award NSF 1931561.