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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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?

Работа и учеба у студентов вузов: конфликт или фасилитация?

Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 4. С. 395–423.
Каплан Е. А., Eritsyan K.

The paper is based on the data of a survey among students from a St Petersburg multispecialty university and semi-structured interviews and investigates the conditions under which combining working and studying negatively impact full-time students and, on the contrary, the circumstances that bring them benefits. According to the findings, those students who are less satisfied with their university, their profession and living conditions are more likely to combine working and studying. In addition, they have higher levels of mental well-being. Students combining work and study tend to more often miss classes but this has no impact on their performance. Effects differ depending on the group of students combining jobs and studies: girls and lower-year students are more likely to have a work-study conflict. Work-study facilitation is more typical of those students who deliberately strive to get the desired profession as well as those who have higher mental well-being levels. The analysis of the interviews helped to detect two types of strategies to combine two spheres: institutionally-supported strategies and self-management strategies.

Research target: Psychology Sociology (including Demography and Anthropology
Priority areas: sociology management
Language: Russian
Full text
DOI
Text on another site
Keywords: well-beinguniversity studentsблагополучиеуспеваемость студентовstudent performanceстуденты вузовcombining work and studyудовлетворенность обучениемсовмещение учебы и работыsatisfaction with education
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