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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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Российский радиожурналист и его работа: исследование мотивации и удовлетворенности

Вопросы теории и практики журналистики. 2018. Т. 7. № 3. С. 394–417.
Колесниченко А. В., Вырковский А. В., Галкина М. Ю., Образцова А. Ю., Vartanov S., Смирнов С. С., Владимирова М. Б., Фомичева И. Д.

The motivation structure, exhaustion level and satisfaction level among the radio journalists are the least researched aspects both in Russian and foreign journalism. This research is based on leading Russian radio stations journalists and managers interviews and is aimed to “portrait” a modern radio journalist from the perspective of his attitude to the job. The research showed, that, in general, journalists are satisfied with both their work and the relationship with coworkers and the psychological climate in the editorial office. The salary is the most important motivator for all the radio journalists regardless age, interest in the job, career ambitions, fame ambitions and willingness to change the world. This means, that journalists can’t be divided into those ones working for money and working for an idea. All the journalists work for money, however, some of them work, in addition, for an idea. The radio journalists feel their workload as high: about half of them feel physically and emotionally exhausted. Many journalists do overtime work: three quarters of them think themes and materials over, more than a half of them prepare materials. The male radio journalists tend to be more romantic and idealistic, the female radio journalists are often more career-oriented, and, therefore, ready to perform more difficult work without a pay rise and they prefer career to private life. Another important trend is the correlation of age and demotivation. The older journalists are less motivated by being interested in their job, an opportunity to build a career, realizing their full potential, becoming famous and changing the world for the better. However, at the same time the older journalists feel the most comfortable in the editorial office and are more often satisfied with their work, combining demotivation with the highest adaptability.

Research target: Media and Communications Psychology Economics and Management
Language: Russian
DOI
Text on another site
Keywords: мотивацияэмоциональное выгораниесамореализацияудовлетворенностьусталостьрадиожурналистика
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