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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
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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.
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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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Soviet Communicative Control: Some Implications of Digital Activism in Contemporary Russia

Ch. 5. P. 51–60.
Kiriya I.

This paper suggests that Soviet communicative control was based on a particular balance between the manipulation of mass communication (propaganda) and restriction of interpersonal communication and particular elements of social mobility control (e.g. transport, postal communication and population localization). This particular balance formed a quite stable social structure in which social communications reinforced the state order and hierarchy. We argue that, to a great extent, some elements of this Soviet system of control are reproduced in the current Russian media and social system that has formed a passive attitude towards digital activism and to political life in general among the population. This phenomenon has significantly influenced the contemporary post-Crimean social consensus and caused the failure of the protest movement at the first half of 2010s, which was largely dependent on social media.

Language: English
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Keywords: Russian mediaHistory of Soviet UnionactivismRunet social media
Publication based on the results of:
Ecosystem of Digital Modernization in Russia: Actors, Discourses, Practices (2019)

In book

Protest Technologies and Media Revolutions: The Longue Durée
Protest Technologies and Media Revolutions: The Longue Durée
L.: Emerald Group Publishing Limited, 2021.
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