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+====== The main topics ======
+//**The list of topics to be presented at the conference is not limited to this list.**//
+**Track 1.** Machine Learning in Fundamental Physics
+  * Machine learning methods in particle astrophysics and high energy physics.
+  * Fast event generators based on machine learning for simulation of physics phenomena.
+  * Multi-messenger data analysis of experimental data.
+  * Application machine learning for data analysis in megascience 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