THEORY

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===== The main topics =====

**Section 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.

**Section 2.** Machine Learning for Environmental Sciences
  * Climate analysis, retrospective analysis and projection
  * Statistical modeling of the ocean and atmosphere on various temporal and spatial scales
  * Environmental monitoring: remote sensing, instrumental monitoring, observations, monitoring networks

**Section 3.** Machine Learning in Natural Sciences
  * Biology and bioinformatics.
  * Engineering sciences.
  * Modern Machine Learning Methods

**The conference will feature:**

  * invited presentations – 30 minutes,
  * regular presentations – 15 minutes,