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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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Картирование политически активных групп в Фейсбуке: динамика 2013-2018 гг.

Вопросы кибербезопасности. 2019. Т. 4. № 32. С. 94–104.
Gradoselskaya G., Shcheglova T., Karpov I.

*Реализация соц. сети Facebook запрещена на территории России по основаниям осуществления экстремистской деятельности.

Social networks are a unique infrastructure mediating the socio-political activity of youth. Mapping of communications of actors and groups allows us to make social processes evident, and observe them in dynamics allows recording the corresponding trends. Authors of the article offered the unique method of a grain clustering allowing to reflect most fully with the minimum technical expenses the current picture of political activity in social networks. From 2013 for 2018 authors conducted more than 20 researches on the mapping of political activity of different levels – federal and regional. This researches described in detail the results of mapping 2018, but also provide a comparison in dynamics with the previous researches. Three main political clusters on Facebook are considered: pro-Putin, nationalist and oppositional. The volume of total selection is 1535 politically active groups of the federal level.

Priority areas: sociology
Language: Russian
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Text on another site
Keywords: сетевой анализnetwork analysisFacebookФейсбук on-line social networkson-line социальные сетиgrain clastering mapping of political groupsзерновая кластеризациякартирование политических групп
Publication based on the results of:
Measurement of social processes in political sciences, business and society in general with the use of network analysis instruments (2019)
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