Big Data and Deep Learning Techniques

Thursday 22 Feb 2018, 15:00 → 19:00 Europe/Athens

Tandem (Other Institutes)

Analysis of large datasets are crucial in Particle Physics, just like in Nuclear Physics, Cosmology and other Physical Sciences, for interpreting results of ongoing (LHC) and future experiments.

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, and identifiy objects in our photos with very good accuracy. These dramatic improvements are due in large part to the emergence of a new class of machine learning methods known as Deep Learning.

In order to promote an interdisciplinary/multidisciplinary approach, a half-day workshop on Big data and Deep Learning Techniques is co-organized by the Institute of Nuclear and Particle Physics (INPP) and the Institute of Informatics and Telecommunications (IIT) at the National Centre for Scientific Research, Demokritos, with invited speakers from CERN. 

 

photos

• IMG_3177.JPG.pdf
• IMG_3179.JPG
• IMG_3180.JPG.pdf

15:00 → 15:35 Machine learning for data taking, monitoring, and processing

Speaker: Maurizio Pierini (CERN)

Pierini.pdf

15:35 → 16:10 Machine Learning for Physics Analysis at the LHC

Speaker: Josh Bendavid (CERN)

mlhepAthens-Feb22-2018.pdf

16:10 → 16:45 Machine Learning for Complex Event Recognition

Speaker: Nikos Katzouris (NCSR "Demokritos")

presentation.pdf

16:45 → 17:00 Coffee Break

17:00 → 17:35 Computing, Software and Deep Learning in HEP

Speaker: Dr Jean-Roch Vlimant (California Institute of Technology (US))

vlimant_Athen_Feb18-pub.pdf

17:35 → 18:10 Complex Event Recognition @ NCSR Demokritos

Speaker: Elias Alevizos (NCSR Demokritos)

cern-forecasting.pdf

18:10 → 18:50 Discussion

Speaker: ALL