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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,