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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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Практики использования технологии дипфейк в современных аудиовизуальных медиа: этические рестрикции

Человек. 2026. Т. 37. № 2. С. 67–82.
Yefanov A.

The article presents the practices of using deepfake technology in modern audiovisual media (television, cinema, internet) by referring to the most resonant cases. Appealing to the conducted by the author results of semi-structured expert interviews (n = 15) with media communications analysts, case study and socio-cultural modeling methods, ethical restrictions of such audiovisual solutions are established. Theoretical and methodological basic research is based on focusing the concept of professional ethics of a journalist (D.S. Avraamov) and a critical approach to the ethics of artificial intelligence (B.C. Stahl, D. Schroeder, R. Rodrigues). Based on the results of the conducted research, the author’s definition of the concept of ethical restrictions as objectified limitations arising from the contradiction of intensifying socio-cultural (including socio-technical) tendencies to moral principles is proposed at the theoretical level. At the empirical level, insufficient compliance with existing documents in the field of communications, media and journalism for regulating deepfake technology is recorded as a problem of media communications, manifesting itself as a kind of challenge, thereby determining the process of codification. In this regard, provisions containing recommendations for regulating the use of deepfake technology in audiovisual media are being proposed, which in turn could form the basis for an updated regulatory document requiring development – the Code of Ethics for Modern Media Communications. It is emphasized that the substantive content of the Code of Ethics for Modern Media Communications should be the subject of broad, multi-layered discussion by the professional and expert community – representatives of the media industry and academia. Such a model will facilitate the harmonious development of professional culture and, consequently, media culture.

Research target: Media and Communications Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: рекламаэтикакинотелевидениеискусственный интеллектadvertisingcinematelevisionethicsrestrictionsдипфейкdeepfake artificial intelligenceaudiovisual mediaаудиовизуальные медиарестрикции
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