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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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Моногорода и освоение сырьевых ресурсов на стадии высокой степени зрелости ресурсной базы

Вестник Кемеровского государственного университета. Серия: Политические, социологические и экономические науки. 2019. Т. 4. № 1. С. 98–105.
Krukov V. A.

The paper considers the problems of the development of monotowns related to the development of mineral resources. The author shows that the solution of the problems of these cities is possible only if the system of state regulation of the development of mineral resources is changed at the stage of high maturity of the resource base. At the same time, the paper focuses on the development of the so-called "resource monotowns". The author analyzes the relationship between the stages of development and extraction of natural resources within the framework of the research. The important factor is the role of so-called "system specificity" of assets that form the basis for the formation and functioning of the mono-industry and the infrastructure of the settlement. Another important factor is the need for decentralization of powers in granting, taxing, and regulating the development of natural resources, their redistribution from the Federation to regional authorities and municipalities (including monotowns). The latter implies the formation of a system of subsoil use, based on complicity, co-management of the natural resource potential. In this case, in the opinion of the author and the proposed recommendations have constitutional grounds, as Art. 72 of the Constitution of the Russian Federation refers to "joint jurisdiction of the Russian Federation and the subjects of the Federation of issues of ownership, use and disposal of land, mineral wealth, water and other natural resources". The proposed recommendations and practical interpretations for Art. 72 include the need to expand the range of subjects of joint jurisdiction with mandatory inclusion in their number of municipalities (including monotowns), as well as citizens. This involves creating a mechanism for interaction between all these actors in the processes of preparing, discussing and implementing decisions in the sphere of the use of natural resources. 

Research target: Effective Natural Resource Management
Priority areas: economics
Language: Russian
DOI
Text on another site
Keywords: экономическое развитиеeconomic developmentнедропользованиеsubsoil usespecificitymineral resourcesминерально-сырьевые ресурсыспецифичностьфондыdevelopment funds
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