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Future Trends in Nuclear Physics Computing

May 2 – 5, 2017
CEBAF Center, Jefferson Lab
US/Eastern timezone

Session

Machine learning for enhancing scientific productivity

May 4, 2017, 2:00 PM
F113 (CEBAF Center, Jefferson Lab)

F113

CEBAF Center, Jefferson Lab

12000 Jefferson AvenueNewport News, VA 23606

Conveners

Machine learning for enhancing scientific productivity

  • Markus Diefenthaler (Jefferson Lab)

Presentation materials

  1. 24. Deep Learning in High Energy Physics
    Prof. Amir Farbin (The University of Texas at Arlington)
    5/4/17, 2:00 PM
  2. 25. Aerospace Data Analysis and Machine Learning at NASA Langley
    Jeremy Yagle (NASA Langley Research Center)
    5/4/17, 2:30 PM
  3. 23. Machine Learning and Real-Time Analysis at LHCb
    Prof. Michael Williams (Massachusetts Institute of Technology)
    5/4/17, 3:00 PM
  4. 26. Discussion
    5/4/17, 3:45 PM
  5. 27. Panel Discussion
    5/4/17, 4:30 PM
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