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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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Альтруизм и парохиализм у детей и подростков: гендерные и возрастные различия

Экспериментальная психология. 2021. Т. 14. № 3. С. 50–66.
Burkova V., Butovskaya M., Дронова Д. А., Адам Ю. И.

The article presents the results of an experimental study of altruism and parochialism among school- children in Moscow and the Moscow region. The propensity for prosocial behavior in children was assessed using an experimental technique developed by E. Fehr and adapted earlier in our experiments with children (Tanzania). A sample of the study consists of 379 children and adolescents (192 boys and 187 girls) aged 7 to 17 years. Schoolchildren made decisions in six proposed dilemmas — prosocial behavior, envy and altruism. The aim of the study was to identify the sex and age characteristics of altruistic and parochial behavior of children and adolescents from schools in Moscow and the Moscow region. The results of the research show that girls were more prosocial in making decisions in relation to unfamiliar peers in one of the experimental games. But the age of the schoolchildren was more important predictor than sex in decision of the allocation of resources. With age, students were more altruistic in relation to friends and unfamiliar peers. The most important factor influencing altruistic behavior turned out to be belonging to one’s own group (friend- ship) — a significant parochial effect was observed in all six dilemmas.

Research target: Psychology Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: справедливостьenvyзавистьпросоциальное поведениеfairnessдружбамосковские школьникиfriendshipальтруизмaltruismprosocial behaviorChildren and adolescentsдети и подросткиParochialismпарохиализмMoscow schoolchildren
Publication based on the results of:
Anthropology of Socio-Cultural Systems: Historical Dynamics and Regional Variability  (2021)
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