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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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?

Russian Arctic Cities’ Sustainable Development Strategies

Ch. 23. P. 495–511.
Sergunin A. A.

The main research objective of this chapter is to examine sustainable development strategies (SDSs) of urban centers of the Arctic Zone of Russia (AZRF). There are three specific purposes for this analysis: first, to evaluate the scope and focus of such strategies; second, to find out whether these strategies are efficient or not and whether they improve the situation in the particular city or not; third, to understand whether these policies are of short-term/single-issue character or they represent forward-looking/comprehensive strategies. The Arctic municipalities view building SDSs as an important policy priority for themselves. They have tried to create proper legal and institutional settings for the development and implementation of such strategies. They have made great strides in implementing some sustainabilityrelated projects over the last 10 to 15 years. There was a clear shift from survival/reactive to capacity-building/proactive SDSs. Despite some residual problems and shortcomings, AZRF cities’ SDSs evolve in a rather dynamic and positive way.

Language: English
Full text
DOI
Keywords: RussiasustainabilityArctic urban development

In book

Handbook of Research on International Collaboration, Economic Development, and Sustainability in the Arctic
Handbook of Research on International Collaboration, Economic Development, and Sustainability in the Arctic
Sergunin A. A. Chicago: IGI Global, 2019.
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