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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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Deep mediatization: rethinking a figurational approach

RUDN Journal of studies in literature and journalism. 2021. Vol. 26. No. 4. P. 664–671.
Nim E.

The article analyzes the possibilities and limitations of the figurative approach to the deep mediatization study, developed by Andreas Hepp and Nick Couldrie. To what extent is figurative theoretical optics sensitive to the processes of social worlds and practices transformation under the media influence? What are the possible directions of revision and further development of this approach? The figurative approach to deep mediatization is a powerful theoretical tool to explore this complex, non-linear meta-process. Focusing on figurations helps to avoid media centrism and emphasize the social life procedurality. At the same time, the figurations concept (understood as collectives, organizations, and institutions) raises some questions. In particular, the thesis about special media ensembles inherent in different figurations does not always work. This is due to the emergence of multifunctional platforms that can become a single digital infrastructure for many figurations. Such platforms have the potential of the ecosystem for a mediatized social life. Further analysis of the relationship between figurations and platforms is required, which does not reduce platforms only to the technological component of figurations. Bridging the deep divide between human actors and technology would also lead to new readings of medialogics (such as human-machine logics).

Research target: Media and Communications Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: Digital Mediaцифровые медиаплатформыplatforms deep mediatizationглубокая медиатизацияfigurational approachmedia logicsфигуративный подходмедиалогика
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