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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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Избегание новостей: понятие, причины и факторы распространения

Коммуникации. Медиа. Дизайн. 2024. Т. 9. № 3. С. 28–55.
Kazun A. D.

This article provides an overview of studies on news avoidance. The widespread nature of this phenomenon makes it crucial to examine not only how the information we consume affects public opinion, but also how the lack of news consumption influences people's perspectives. News avoidance is a multifaceted phenomenon. There are intentional and unintentional forms of avoidance, as well as complete and partial avoidance. The extent of this phenomenon is also measured in various ways. Depending on the research methodology, news avoiders may include those who self-identify as such, those who consume news below a certain threshold, or those who do not consume news from any source on a wide list. All this makes it challenging to quantify the prevalence of news avoidance. The reasons for rejecting news content are specific to the high-choice media environment, which can lead to information overload. The negative bias of news is also significant, as it increases the emotional cost of consuming news and encourages avoidance to protect mental well-being. The individual characteristics of information consumers also play a role. Women, young people, and those with lower levels of education are more likely to avoid news. Reducing the consumption of information content can be achieved by regulating the timing of news consumption (avoiding news at work, checking news only twice a day, etc.) or by managing the information environment (disabling push notifications, uninstalling news apps, etc.).

Research target: Media and Communications Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
Full text
Text on another site
Keywords: новостимедиапотреблениеinformation overloadинформационная перегрузкаmedia consumptionnews avoidanceизбегание новостейhigh-choice media environmentмедиасреда с большим выборомnews fatigueanalysis paralysisусталость от новостейаналитический паралич
Publication based on the results of:
Russians’ Daily Social Practices under Exogenous Shocks (2024)
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