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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.
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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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Коммуникативные стратегии политико-ориентированных сообществ в интернете

Вестник Санкт-Петербургского университета. Серия 12: Социология. 2021. Т. 14. № 2. С. 155–170.
Юдина Д. И., Ivanov S.

The Internet as a special space for political activity and political communication is becoming more and more attractive to political actors. The intensification of political activity on the Internet leads to the increase of researchers’ interest. One of the prominent areas of this research is the analysis of the efficiency of communication strategies used by politically oriented communities on the Internet. The results of such assessment contribute to, in particular, 
characterizing the level and features of the political engagement of Internet users into political processes. To study these processes, a telephone survey of residents of St. Petersburg was conducted. St. Petersburg was chosen because it is one of the largest cities in Russia with high Internet coverage and a high level of political activity compared to other regions. The results showed that politically oriented communities effectively implement primary communication strategies — information and presentation. More than two-thirds of politically active Internet users in St. Petersburg noted that visiting the relevant resources helped them to understand the political situation, to define their attitude toward parties, politicians, social movements and organizations. At the same time, the strategy of supporting political identification has not yet worked for the majority of users. Perhaps this is a consequence of the fact that the majority of St. Petersburg citizens have not yet found appropriate political leaders and organizations. 
The authors found that the majority of Internet users display an interest in politics permanently, and not only during the pre-election period. The hypothesis that one of the factors of an efficient strategy of politically oriented communities is emphasizing anti-power positions was confirmed. The survey results also confirmed the high level of opposition views among Internet users.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: политические партииобщественные движениякоммуникативная стратегияполитикисоциальные медиаИнтернетполитико ориентированные сообщества
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