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  • Ресурсный потенциал гастрономического туризма Санкт-Петербурга и Ленинградской области с учетом природных, этнических, исторических, промышленных, событийных предпосылок
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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Ресурсный потенциал гастрономического туризма Санкт-Петербурга и Ленинградской области с учетом природных, этнических, исторических, промышленных, событийных предпосылок

Экономика, предпринимательство и право. 2022. Т. 12. № 7. С. 1919–1938.
Lebedeva S.

The COVID-19 pandemic, as well as anti-Russian sanctions imposed by a number of governments, lead to an increased demand for domestic tourist destinations. The unpreparedness of the Russian regions to accept sophisticated domestic tourists and the underdevelopment of the Russian market of tourist services determine the relevance of comprehensive assessment of the Russian regions’ resource potential to diversify their tourist offer. This paper solves the problem of determining the place of gastronomic (food) tourism in the system of tourist services in St. Petersburg and the Leningrad Region through a comprehensive assessment of the resource potential of the regions. The author used statistical analysis and other general scientific methods to characterize tourist infrastructure on the example of collective accommodation facilities, natural, climatic, historical, cultural, ethnic, industrial and event prerequisites for the development of gastronomic tourism in the Russian regions. The results of the study may be useful for the Committee for Culture and Tourism of the Leningrad Region for the food tourism development and popularization and the formation food tourist product, as well as for the heads of enterprises that are potential objects of gastronomic tourism.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: Санкт-ПетербургLeningrad regionЛенинградская областьSt. Petersburgресурсный потенциалгастрономический туризмgastronomic tourismresource potentialfood tourismindustrial tourismпроизводственный (промышленный) туризм
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