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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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Причины и факторы завершения экспансии высшего образования в России

Социологический журнал. 2022. Т. 28. № 3. С. 8–37.
Sergey M., Shibanova E.

The structural consolidation of the higher education network, a diminishing commercial segment, and an increase in vocational training enrollment over the past decade are all signs that higher education expansion in Russia has come to an end. The aim of this article is to find possible explanations and analyze macro-level factors of this phenomenon from an economic, sociological and political-economic perspective. Based on the statistical and monitoring data, the paper shows that the decrease in enrollment is due to a shortage in higher education programs, limited financial accessibility and shifts in the economic efficiency of educational strategies. Declining participation in higher education seems to be more of a tendency for less affluent and educated families, who are redirecting towards vocational training. A declining number of part-time correspondence programs and university departments, as well as the vertical stratification of the institutional landscape, reinforce the social differentiation of educational expectations and opportunities. The stratification and professionalization of tertiary education are also examined as part of the evolution of the conservative political-economic model in Russia.

Research target: Education Sociology (including Demography and Anthropology Social and Economic Geography (including Urban and Transportation Studies)
Language: Russian
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Keywords: третичное образованиеtertiary educationhigher education in Russiaдоступность высшего образованияaccess to higher educationравенство образовательных возможностейэкспансия высшего образованияEducational expansionequity of access to higher educationохват высшим образованием
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