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Big Data and Deep Learning Techniques
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Europe/Athens
Tandem (Other Institutes)
Tandem
Other Institutes
INPP, NCSR-D, Athens, Greece
Description
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.
Dr. Costas Papadopoulos
Registration
Participants
Participants
Anna Sinopoulou
Athanasios Bakopoulos
Athanasios Davvetas
Christos Maroglou
Constantinos Rizogiannis
Costas Karafasoulis
Dikaia Saraga
Garyfallia Paspalaki
George Fanourakis
George Xilouris
Georgios Billis
Georgios Karafotias
Georgios Zacharis
Giorgos Bouritsas
ILIAS TOLIAS
Ioannis Karkanias
Ioannis Lytrosyngounis
Iraklis Klampanos
Konstantinos Panou
Konstantinos Papadopoulos
Konstantinos Pikounis
Maurizio Pierini
Mina Ermioni Tomazinaki
Niki Saoulidou
Panagiotis Soursos
Pavlos Tsavalas
Stavros Kolometsos
Zoe Nivolianitou
