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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Возможности и перспективы применения методов искусственного интеллекта для решения краевых задач математической физики в инженерной практике

Нейрокомпьютеры: разработка, применение. 2019. Т. 21. № 2. С. 16–31.
Yasnitsky L., Гладкий С. Л.
Translator: И. Никитенко

The history of evolution of methods for solving boundary value problems of solid mechanics is traced, the comparative analysis of methods from the point of view of reliability of the obtained solutions is carried out. An attempt is made to develop the method of fictitious canonical domains by applying the technology of genetic algorithms. On the example of the boundary value problem of elasticity theory it is shown that the use of genetic optimization algorithm instead of gradient allows to significantly reduce the error of solving boundary value problems performed by the method of fictitious canonical domains.
Keywords: boundary value problem, elasticity theory, analytical method, numerical method, error, artificial intelligence, genetic algorithm

Research target: Mathematics Computer Science
Priority areas: IT and mathematics
Language: Russian
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Keywords: искусственный интеллектгенетический алгоритмкраевая задачаGenetic algorithm boundary value problemelasticity theory
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