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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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РОЛЬ ПРЕДПРИНИМАТЕЛЬСТВА В РАЗВИТИИ РОССИИ

Экономическая наука современной России. 2025. № 1(100). С. 83–95.
Kossov V. V.

With the collapse of the USSR, the total fertility rate per woman in Russia fell below the critical value of 2.1 children.
Under these conditions, the increase in mortality threatens the country with accelerated extinction. The conclusions of
the article are based on an analysis of the dynamics of birth and death rates for 1950–2021. When analyzing data for
Russia, its indicators are compared with the arithmetic averages for the leading countries: Israel, the Netherlands and
Switzerland. The greatest differences between Russia and the leading countries are observed in terms of mortality. In
2021, in Russia, it was twice the level of leading countries, while in 1959–1962 it was, on the contrary, lower. The sharp decline in mortality in Russia in 1950–1960 was achieved thanks to a combination of the suppression of infections with antibiotics (as in the leading countries) with the passionate breakthrough of front-line soldiers who seized on civilian life. The outpacing growth in mortality in Russia compared to the leading countries since the early 1960s is caused by social stress that destroys work motivation – the opportunity to provide for oneself and one's family by honest work (B. T. Velichkovsky's definition) or an unknown X-factor (Gundarov's definition) Maximum violations labor motivation fell on 2003. Since 2004, the restoration of work motivation began and the resulting decrease in mortality, which continued until 2019. In 2020–2021, a new increase in mortality began. To stop the increase in mortality, it is necessary to strengthen labor motivation. The development of entrepreneurship will solve this problem by developing a work ethic, the violation of which causes social stress. A comparison of Russia with the leading countries shows that for this it is necessary to double the number of entrepreneurs
and, in connection with this, the proportion of the electorate living on income from business and property. The necessary conditions are: the institutional exclusion of the possibility for the security forces to ruin businesses and a significant reduction in the share of state-owned banks in the capita.

Research target: Economics and Management
Language: Russian
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DOI
Text on another site
Keywords: mortality ratesтрудовая этикакоэффициент смертностиwork ethicвымирание страныsocial stressX-factorсоциальный стрессХ-факторextinction of the countryfertility rates,коэффициент фер- тильности (суммарный коэффициент рождаемости)
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