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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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Маркетинговые стратегии редакции в условиях конвергенции

Меди@льманах. 2017. № 4(81). С. 42–49.
Вырковский А. В., Галкина М. Ю., Колесниченко А. В., Образцова А. Ю., Vartanov S.

This article is part of a large complex study on the transformation of newsroom work under convergence. The results of the examination of changes in the working processes of Russian journalists and editors are presented. The authors of the study interviewed more than 20 editorial staff members. Every respondent has an experience of working in the media for at least 10 years. The main change (according to the respondents' observations) is much more intensive work of journalists and editors on social networks intended to optimize communication with the audience. The rapid digitalization in recent years has produced an obvious, although not so large, scale effect on the practice of interaction with the external environment. We believe that in the near future this trend will only increase.

Research target: Media and Communications Economics and Management Sociology (including Demography and Anthropology
Language: Russian
Text on another site
Keywords: социальные сетиредакциявнешняя средаконтентаудиториядигитализация
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