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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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Regional Development Models Using Cultural Heritage Resources

International Journal of Culture,Tourism and Hospitality Research. 2013. Vol. 7. No. 1. P. 3–10.
Abankina T.

Purpose – The purpose of this paper is to introduce findings of comparative analysis and various models based on cultural heritage resources to foster regional development.

Design/methodology/approach – Comparison of operational schemes, market positions and branding of three successful cultural heritage centers in Germany, Great Britain and Russia demonstrates a variety of regional development models based on cultural resources and tourism development, and reveals their advantages and disadvantages.

Findings – The paper evidences the potential of cultural resources and the tourism sector as drivers for regional development, and helps formulate basic recommendations for the Russian situation requiring elaboration of adequate financial and social instruments.

Originality/value – The paper provides a complex analysis of different operational models in three European countries with regard to specific national situations and specificity of heritage operational management.

Research target: Philosophy, Ethics, and Religious Studies Economics and Management
Priority areas: economics management humanitarian
Language: English
Full text
DOI
Keywords: культурное наследиетуризмГерманияРоссиякреативная экономикаRussiaGermanyрегиональное развитиеcultural heritageregional developmenttourismUnited Kingdomcreative economyCultural heritage centresЦентры культурного наследияСоединенное Королевство
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