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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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“Do It the Russian Way”: Narratives of the Russian Revolution in European History Textbooks

Slavic Review. 2017. Vol. 76. No. 3. P. 741–752.
Fabrykant M.

The article presents the results of narrative analysis of contemporary European history textbooks’ coverage of the 1917 Russian Revolution. The sample consists of 101 textbooks from 22 European states, published between 2000 and 2015 and currently in use in secondary and high schools. The results show that the Russian Revolution, unlike most other events in Russia's history, is narrated as a story not about Russianness, but about shared European historical experiences and social issues. The article discusses the implications of this way of narrating the Russian Revolution for the perceived logic of European history.

Research target: History and Archeology Education Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
DOI
Text on another site
Keywords: Октябрьская революцияOctober revolutionhistorical narrativeисторический нарративhistory textbooks analysisанализ учебников истории
Publication based on the results of:
Interrelationship of resources with values and opinions (2017)
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