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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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Information Overload of Journalists in Contemporary Russia: Causes, Ways of Adaptation and Consequences (A Pilot Study)

Communications. Media. Design. 2018. Vol. 3. No. 4. P. 115–139.
Chumakova V., Горшкова Д. Д., Popova V., Shibanova A.

The article is devoted to the problem of information overload of contemporary journalists. The pilot study included 37 in-depth semi-structured interviews with Russian journalists from various fields. Firstly, 9 main reasons for the overload of journalists mentioned by them were identified: the heterogeneity of the media environment; an increase in the distortion of reliable information; the exhaustion of analytical resources; global events; communication overload; compassion fatigue; the specificity of the profession (speed, deadlines); physiological and workflows; focus on the news. Secondly, four levels of overload consequences were identified, which were discussed by informants: physiological (biological), psychological, cognitive and social. The components of these consequences were analyzed in detail. Thirdly, the professional sequences of journalists' overload, which arise from the designated four levels, were analyzed separately. Finally, ways of adapting journalists to information overload were identified.

Priority areas: humanitarian
Language: English
Text on another site
Keywords: медиановые медиаmedianew mediaжурналистыinformation overloadинформационная перегрузкаинтернетjournalistspost-truthпостправдаfact-chekingфактчекинг
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