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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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Социально-демографические особенности, личностные черты, ценности и установки ковид-скептиков в России

Мониторинг общественного мнения: Экономические и социальные перемены. 2021. № 6. С. 410–435.
Sokolov B., Zavadskaya M.

In this study, we explore how various socio-demographic attributes, personality traits, values, and attitudes of COVID-19 skeptics differ from those of the rest of the Russian population. We use data collected during the first round of the international online panel survey “Values in Crisis” (in short ViC; fieldwork mid-June 2020, N = 1527). We operationalize COVID-skepticism as support for the idea that the COVID-19 pandemic is a hoax and that all the lockdown measures are a hysterical overreaction, indicated by 38% of our respondents. Basic descriptive tests show that male, middle-aged, and less educated respondents are more likely to express skeptical views of the pandemic. The direct experience of the disease, quite predictably, decreases the likelihood of being coronaskeptic, whereas encountering negative economic consequences of the pandemic has the reverse effect. Interestingly, no systematic differences between skeptics and non-skeptics in the “Big-5” personality traits are visible in our data. At the same time, the coronaskeptic group has consistently lower scores on Schwarz’s conservation values and higher scores on openness to change values. COVID-19 skeptics also tend to oppose globalization, international cooperation, and migration. They are slightly less trusting of other people and traditional media, less proud of being Russian citizens, but do not differ from non-skeptics in terms of religiosity. Perhaps the most striking finding is that this group demonstrates much lower levels of confidence in government, health system, and national institutions, and also evaluates the government’s performance in handling the COVID-19 crisis much more critically.

Research target: Health Studies Sociology (including Demography and Anthropology
Language: Russian
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Keywords: "Большая пятерка" личностных чертИнституциональное довериеconspiracy theoriesinstitutional trustCOVID-19теории заговораковид-скептицизмSchwartz’s basic values“Big Five” personality traitsбазовые ценности ШварцаCOVID-19
Publication based on the results of:
Exploring cultures: historical legacy and recent challenges (2021)
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