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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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Ethnic and Religious Identification, Acculturation Attitudes and the Socio-Economic Adaptation of Immigrants

2015. No. 37.
Grigoryev D.
This article describes the construction and testing of a theoretical model of the socio-economic adaptation (SEA) of immigrants, considering psychological factors as basic. In the analysis of previous studies, acculturation attitudes of immigrants were identified as key psychological factors of SEA for the construction of a theoretical model; the length of stay in the host country and language skills were used as control variables; ethnic and religious identification were used as predictors of acculturation attitudes. A survey of Russian-speaking immigrants in Belgium was carried out and path analysis was used to test the model. We found that (1) acculturation attitudes of immigrants is associated with their level of SEA independently, i.e. regardless of length of stay in the host country or language skills; (2) a high level of SEA is positively associated with orientation toward the host society (integration and assimilation), and negatively associated with orientation toward their own ethnic group (separation); (3) strong ethnic and religious identification may facilitate the orientation of immigrants to their ethnic group, and strong ethnic identification prevents assimilation.
Research target: Economics and Management Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Psychology
Priority areas: economics sociology state and public administration humanitarian
Language: English
Full text
DOI
Text on another site
Keywords: acculturation attitudessocio-economic adaptationethnic identificationreligious identificationacculturation of immigrantsimmigration
Publication based on the results of:
Identity and intercultural relations in post-Soviet space (2015)
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