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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Интегрированный алгоритм балансировки нагрузки в распределенных информационных системах на основе методов теории принятия решений

Информационные технологии. 2025. Т. 31. № 11. С. 587–595.
Vishnekov A., Ivanova E., Ладовир А. А., Цыдыпов А. В.

The paper considers the possibility of applying decision theory methods to solve the problem of load balancing in distributed information systems. A review and analysis of methods for evaluating and comparing multi-criteria alternatives is carried out, their advantages and disadvantages are shown in the context of the problem being solved. The most effective methods have been selected. Authors proposed a method for solving the balancing problem based on the integration of decision-making and machine learning methods. An example of using the proposed methodology is considered.

Research target: Computer Science Mathematics
Language: Russian
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Keywords: распределенные системыdecision making methodsload balancing distributed systemsбалансировка нагрузкиметоды теории принятия решений
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