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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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Культурные паттерны образовательных решений российской молодежи на примере поступления в колледж

Вопросы образования. 2023. № 4. С. 179–206.
Pavlenko E.

The aim of the study is to explore how adolescents make sense of various educational opportunities while making educational decision to go to college after grade 9. We seek to decipher which symbolic horizons adolescents derive from in order to shape their decision irrespective of grades or family SES. To do so, we draw on data from in-depth interviews collected in 2013 as part of the Trajectories in Education and Careers project. We find that, on the one hand, decisions about the choice of trajectory are not made randomly, solely because of grades, but at the same time they are not only rational. As a result, we identify 4 symbolic horizons of decision-making, which indicates the heterogeneity of cultural patterns of decision-making to leave school and go to college.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальное неравенствокультураобразовательные траекторииcultureобразовательное неравенствоsocial inequalityeducational trajectorieseducational transitionобразовательный переход educational inequalityvocational education and training (VET) среднее профессиональное образование (СПО)социально-экономический статус семьиfamily SEScultural patternssymbolic horizonкультурные паттернысимволический горизонт
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