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The 6th International Workshop on Deep Learning in Computational Physics – DLCP2022статья
- Авторы: Korenkov Vladimir, Kryukov Alexander
- Журнал: Proceedings of Science
- Том: 429
- Год издания: 2022
- Издательство: Sissa Medialab
- Местоположение издательства: Italy
- Первая страница: 032
- DOI: 10.22323/1.429.0032
- Аннотация: The Workshop will be held in the Meshcheryakov Laboratory of Information Technologies (MLIT) of the Joint Institute for Nuclear Research (JINR) on July 6-8, 2022.The workshop primarily focuses on the use of machine learning in particle astrophysics and high energy physics, but is not limited to this area. Topics of interest are various applications of artificial neural networks to physical problems, as well as the development of new modern machine learning methods for analyzing various scientific data, including big data.The workshop website: https://dlcp2022.jinr.ru/.Organizers * Joint Institute for Nuclear Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR, Dubna, Russia) * M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, Moscow, Russia).Track 1. Machine Learning in Particle Astrophysics and High Energy Physics * Machine learning methods in particle astrophysics and high energy physics. * Fast event generators based on machine learning for modelling of physicsphenomena. * Multi-messenger data analysis of experimental data. * Application machine learning for data analysis in LHC, NICA, TAIGA andother experimental facilities.Track 2. Modern Machine Learning Methods * Convolutional neural networks. * Recurrent neural networks. * Graph neural networks. * Modern trends in machine learning.Track 3. Machine Learning in Natural Sciences * Biology and bioinformatics. * Engineering sciences. * Climate prediction and Earth monitoring.Track 4. Machine Learning in Education * Machine learning in High education. * Outreach knowledge in machine learning.
- Добавил в систему: Крюков Александр Павлович