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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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Искусственный интеллект в России: проблема доверия

Вече. 2024. Т. 1. № 1. С. 101–110.
Глебова С. В., Перова Н. В.

Today, the introduction of artificial intelligence is already widely practiced, as this technology is expected to have an impact on almost all areas of human life. Nevertheless, the issues of security, privacy, and the speed of development of this process remain open. The article discusses the peculiarities of the introduction and use of artificial intelligence in the Russian society in the context of the problem of trust in digital technologies. In general, Russia remains a country of “techno-optimists”: digital solutions are perceived favorably by society. However, when it comes to sharing personal data with the state, society has mixed reactions. Based on statistical data and public opinion polls, we identify the key reasons for trust (and non-trust) of AI in Russia. As a result of analyzing the correlation between the peculiarities of AI functioning and digital literacy of citizens, the conclusion is made about the need to raise public awareness about the principles of AI operation, and the question is raised about the exploitation of public trust in strengthening control over the observance of citizens' rights within the framework of the introduction of artificial intelligence.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: этикаискусственный интеллектдовериепрозрачностьtransparencysafetyцифровая грамотностьTrustEthicsdigital literacyбезопасность artificial intelligence
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