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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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Какая она, престижная работа? (реконструкция социальных представлений на основе прочтения рисуночных данных)

Мониторинг общественного мнения: Экономические и социальные перемены. 2015. № 5. С. 74–91.
Pashkevich A., Сапрыкина Т. А.

The main research question of this sociological research can be formulated as follows: how do young people perceive the image of prestigious job today, what are the characteristics (attributes) it has, and how does it differ from the other (undesirable) activities, if not to limit the respondents' answers purely formalized verbal questionnaire with questions about a prestigious job. What are these representations, if we try to reveal it in the form of images – visual data? This article will examine social representations of prestigious job obtained by using not yet common approach in this area, namely drawing technique. The advantage of applying non-verbal technique lies in the fact that respondents have an opportunity to identify independently the semantic basis, composition of the answer, because there are no existing restrictions in the form predetermined by the researcher answers and cognitive framework to the question. This study will also demonstrate which characters and features of prestigious job are key, and which, on the contrary, is not accentuated in the views of young people today. In general, it can be noted, that the understanding of prestigious job among young people is variable and versatile, because diverse interpretations of the studied concept were presented in the form of various symbols and subjects. So, based on the analysis and interpretation of the drawing data, in the current study there were identified several (12) resistant types of representations of prestigious job. The objective of this article is not to oppose verbal techniques something different, but show cognitive possibilities of using in the sociological field study of non-verbal techniques and thereby expand "methodological horizon” of empirical sociology. This paper belongs to the genre of descriptive studies.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
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Keywords: молодежьсоциальные представленияпрестижyouthsocial representationsprestigeprestigious jobпрестижная работарисуночная техникарисуночные данныеpictorial techniquepictorial data
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