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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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Эволюция модели культурных измерений Хофстеде: параллели между объективной и субъективной культурой

Социологическое обозрение. 2023. Т. 22. № 3. С. 287–317.
Minkov M., Sokolov B., Lomakin I. V.

Some 40 years ago, the Dutch social scientist Geert Hofstede laid the foundations of the science of modern cultural comparisons and created the most popular model of national culture that is still in use today across the world. Meanwhile, numerous issues with that model have been identified and the need for a thorough revision has become obvious. This article briefly explains Hofstede’s model and its issues and summarizes the existing revisions of it, resulting in a new, simpler, and more robust Minkov-Hofstede model. This new version explains a wide range of differences in national indicators, such as transparency-corruption, gender equality, road death tolls and industrial fatalities, educational achievement, violent crime, adolescent fertility, family structure, and innovation rates, to name just a few. These indicators form a pattern that is similar to the new Minkov-Hofstede model and can be explained through similar theories. This is evidence that subjective culture (what people think and feel) has a mirror image in objective culture (what people do). The new Minkov-Hofstede model can be applied to countries, as well as to some sub-national units such as US states.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: cross-cultural researchindividualism-collectivismиндивидуализм-коллективизмMinkov-Hofstede modelсравнительные исследования культурыГерт Хофстеде national culture Geert Hofstede monumentalism-flexibility национальная культурамодель Минкова‒Хофстедемонументализм-гибкость
Publication based on the results of:
Value Polarization and Its Societal Consequences in a Comparative Perspective (2023)
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