THEORY

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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