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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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The Examination of the Residents’ Activities and Dedication to the Local Community — An Agritourism Access to The Subject

Journal of the Geographical Institute "Jovan Cvijić". 2017. Vol. 67. No. 1. P. 37–52.
Vukovic D., Petrovic M., Demirovic D., Gagic S., Gelbman A.

The paper deals with conceptual guidelines, basic aspects and spatial frameworks of the development of agritourism. The holistic approach, in this regard, includes the integrated and the comprehensive aspects of tourist stays in the countryside. The authors define the impact of agritourism on rural surroundings and analyze the influence of spending leisure time outside urban areas and consuming agritourism activities. Understanding the many components of agritourism is essential for future planning, management, business decisions and strategies. For success in agritourism, knowledge is necessary in many economic fields, including organization, management and marketing, among others. In addition, this article emphasizes products and services in agritourism and provides insight into the facilities and opportunities that are offered to tourists in rural areas. The research findings represent a useful tool for obtaining information about many elements of agritourism development and can serve as a relevant instrument in travel industry research or in academic investigation.

Research target: Economics and Management Sociology (including Demography and Anthropology Basic Medicine Health Studies
Priority areas: management humanitarian
Language: English
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DOI
Text on another site
Keywords: frameworkagritourismtourism productnew products and services
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