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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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Information Retrieval and Analysis of Digital Conflictogenic Zones by Social Media Data

P. 677–685.
Maria Pilgun, Kharlamov A. A.

The paper is concerned with information retrieval and analysis of digital conflictogenic zones based on social media data reflecting the users’ perception of road construction in Moscow. The material for the study was data from social networks, microblogs, blogs, instant messengers, videos, forums and reviews dedicated to the construction of the South-East, North-East and North-West Chords in Moscow. The study involved a transdisciplinary approach, neural network text analysis, content analysis, sentiment analysis, and analysis of lexical associations. The study made it possible to draw conclusions about the extremely tense situation around the construction of the South-East Chord. The level of aggression and social stress is quite high and approaching a critical point, and allows predicting further escalation of the conflict in the online and offline space. The construction of the North-East Chord causes some tension among the city residents and makes it possible to predict the development of a conflict in the virtual environment. The implementation of the North-West Chord project does not bear any special risks

Language: English
DOI
Keywords: psycholinguisticsconflict social medianeural network technologies

In book

Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 2
L.: Springer, 2021.
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