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A technique is proposed for evaluating the probability of aircraft collision by the importance sampling technique. Upper limits for the size of an auxiliary sample are found, which ensure the prescribed relative accuracy of probability evaluation. Theoretical conclusions are confirmed by numerical experiments.

The authors present methods for the application of artificial intelligence for operational meteorological information (OPEC). The means of communication for distribution of meteorological data using information technologies are presented. Practical courses for aviation specialists (pilots, air traffic controllers, operators of unmanned aerial vehicles) are considered in which artificial intelligence methods are used: datamining, deep learning, machine learning, using information technologies.