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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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Мотивы и институциональные условия переработок (на примере офисных служащих г. Москвы)

Экономическая социология. 2017. Т. 18. № 1. С. 51–79.
Бейлина Е. А., Кантер Д. С., Лялина Н. С., Клементьев А. А.

The paper examines the phenomenon of office workers’ overwork. Statistical data demonstrates that modern Russians tend to work more than 40 hours a week, thereby exceeding the legal time allowance that traces its roots back to a period when largescale manual labor was the norm. Increasing proportions of tertiary and quaternary sectors in the Russian economy suggests that the “normal” 40-hour work week is a redundant constraint and workers perceive the “norm” differently. According to the existing literature, overwork can reflect a worker’s personality traits, and institutional or economic changes. In the research article, an analysis of the motives of overwork is provided. Also, evidence of the differences in perceptions of what constitutes a “normal” work day and mental borders between work and overwork is presented. It appears that employees perceive overwork not only as overtime work (the number of hours that they work in addition to their contractual hours), it can also be understood as a work-life imbalance, undesirable dramatic change in lifestyle due to the demands of work, and a psychological and/or physical fatigue that can lead to the loss of a “zest for life.” The following motives were identified: economic (working additional hours for career advancement, salary growth, or at least job security in the future), social (adherence to corporate norms and values), and psychological (escaping from family problems). Special attention was paid to the analysis of institutional working conditions (organizational characteristics) which can lead to overwork.

Priority areas: sociology
Language: Russian
Text on another site
Keywords: трудовые отношениякорпоративная культурасоциология трудаcorporate culturelabor relationsпереработкаoverworkoffice workersофисные работникиoverwork motivesoverwork perceptionмотивы переработоквосприятие переработок
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