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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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Движение футбольных фанатов: структура и коллективные идентичности

ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация. 2020. Т. 12. № 1. С. 118–135.
Колегова И. Е., Kondratenko V.

The article is dedicated to the study on the identification characteristics of football fans. The main question of the research is aimed at identifying who a football fan is, and how he defines himself. The empirical base of the study includes 20 in-depth semi-structured interviews with football fans of PFC CSKA. According to the results of the work, it was revealed that the portrait of a football fan is a collective image, and the identity of representatives of the fan movement is plastic and fragmentary. Due to the presence of many subgroups within the fan movement, fans can identify themselves differently each time depending on how they overcome certain barriers. Moreover, moving between groups does not imply a change in significance or a change in the fan's attitude to a particular group. Contrary to assumptions, the boundaries between groups are quite flexible and surmountable, and the process of identity formation is constantly renewed, not static.

Research target: Sociology (including Demography and Anthropology Social Sciences Media and Communications Other social sciences Other Humanities
Priority areas: sociology
Language: Russian
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DOI
Text on another site
Keywords: субкультурафутбольные фанатысоциальные роли Football fanssocial rolessubcultureplastic identityidentification processgroup structure and boundariesпластичная идентичностьпроцесс идентификациигрупповая структура и границы
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