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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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Когнитивные предикторы гибридной и альтернативной идентификации в поликультурной среде: обзор зарубежных исследований

Современная зарубежная психология. 2021. Т. 10. № 3. С. 79–91.
Ясин М. И., Ryabichenko T.

In the modern world, the processes of globalization, migration, increased social mobility, the availability of tourism and other ways of meeting cultures lead to the activation of intercultural communication. More and more people become bearers of more than one culture (biculturals). The choice of an identity model in scientific publications is often considered as a result of environmental influences, but intrapsychic factors, including cognitive styles, are not sufficiently considered. Existing studies give a rather vague picture. The purpose of this work is to generalize the available data on the role of the cognitive component in the identification processes, to identify possible predictors of hybrid and alternative identification, to build a model of the influence of cognitive factors on the choice of an identification model. The author’s hypothetical model of cognitive predictors of hybrid or alternative identity (in the schema format) is proposed. We see further prospects for working on the problem in the empirical testing of the proposed model.

Research target: Psychology
Language: Russian
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Keywords: конфликтidentificationполикультурная средаconflictмежкультурная компетентностьcognitive complexityкогнитивная сложностьинтолерантность к неопределенностиintolerance for uncertainty intercultural competenceстратегии идентификациигибридная и альтернативная идентификациикогнитивная открытостькультурный фреймhybrid and alternative identificationpolycultural environmentcognitive opennesscultural frame
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