AKPIK 1: Arbeitskreis Physik, IT & KI (AKPIK) I
Monday, March 19, 2018, 16:30–18:45, 70 - HS 00.107
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16:30 |
AKPIK 1.1 |
Gruppenbericht: SFB 876 Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung — •Tim Ruhe, Wolfgang Rhode, Maximilian Meier und Mirco Hünnefeld
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17:00 |
AKPIK 1.2 |
Online Event Reconstruction in IceCube Using Deep Learning Techniques — Mirco Hünnefeld, Max Meier, •Thorben Menne, Felix Neubürger, Tobias Hoinka, Joshua Luckey, Jan Soedingrekso, and Jan Spinne for the IceCube collaboration
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17:15 |
AKPIK 1.3 |
FACT -- Improving the Angular Resolution of FACT-Tools Using Machine Learning — •Maximilian Nöthe and Kai Arno Brügge for the FACT collaboration
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17:30 |
AKPIK 1.4 |
Prototyping CTA's Real-Time-Analysis — •Kai Arno Brügge, Alexey Egorov, and Maximilian Nöthe
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17:45 |
AKPIK 1.5 |
Convolutional Neural Networks applied to Images of the MAGIC Telescopes — •Philipp Hoffmann and Alicia Fattorini for the MAGIC collaboration
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18:00 |
AKPIK 1.6 |
Deep Neural Networks for IceCube Online Classification — •Jan Spinne, Philipp Hoffmann, and Felix Neubürger for the IceCube collaboration
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18:15 |
AKPIK 1.7 |
e + /e - Discrimination with Deep Learning Method — •Yu Xu, Yaping Cheng, Christoph Genster, Philipp Kampmann, Livia Ludhova, Michaela Schever, Rikhav Shah, Achim Stahl, and Christopher Wiebusch for the JUNO collaboration
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18:30 |
AKPIK 1.8 |
Can Artificial Intelligence Advance Fundamental Physics? — •Alexander Unzicker
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