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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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?

Модели развития рынков углеводородов в развивающихся странах

Экономический анализ: теория и практика. 2018. Т. 17. № 4 (475). С. 637–651.
Kosov M.

Subject The article addresses the models of hydrocarbon market development in emerging economies. It includes a tactical area that relates to permanent use of resources available in the country, and a strategic area that relates to stock accounting inclusive of proven fields.


Objectives The purpose of the study is to disclose tactical, strategic and integral dependence of the Russian economy on oil, gas and coal production.


Methods I employ the methods of extrapolation, comparison, systematization, and econometric analysis.


Results I suggest using the indicators of tactical, strategic and integral dependence of the national economy on natural resources, which include oil, gas and coal. The findings may be helpful for monitoring the resource dependence of Russia and other developing countries.


Conclusions The paper offers a procedure for weighing individual resource characteristics that will enable a more accurate forecasting of the national economy development.

Priority areas: economics
Language: Russian
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Keywords: бюджетстратегия развития budgetдобыча и производство угля emerging economies development strategy coal miningoil and gas exportsэкспорт нефти и газастраны с развивающейся экономикой
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