Future Trends in Nuclear Physics Computing

Session

Machine learning for enhancing scientific productivity

May 4, 2017, 2:00 PM

F113 (CEBAF Center, Jefferson Lab)

Conveners

Machine learning for enhancing scientific productivity

• Markus Diefenthaler (Jefferson Lab)

Presentation materials

notes

https://docs.google.com/document/d/1iXAHCmCEChtJ_wBVnuatKb3jNbPNRb9-HtI9ImyKqD4/edit#

24. Deep Learning in High Energy Physics

Prof. Amir Farbin (The University of Texas at Arlington)

5/4/17, 2:00 PM

25. Aerospace Data Analysis and Machine Learning at NASA Langley

Jeremy Yagle (NASA Langley Research Center)

5/4/17, 2:30 PM

23. Machine Learning and Real-Time Analysis at LHCb

Prof. Michael Williams (Massachusetts Institute of Technology)

5/4/17, 3:00 PM

26. Discussion

5/4/17, 3:45 PM

27. Panel Discussion

5/4/17, 4:30 PM