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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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Бизнес-процессы выпускающих редакций информационного агентства (на примере ТАСС)

Вестник Новосибирского государственного университета. Серия: История, филология. 2024. Т. 23. № 6. С. 54–62.
Zelentsov M.

The article analyzes the current editorial business processes of a news agency, with a focus on the News Hub and the editorial office of the website tass.ru of the TASS agency. From an industrial point of view, TASS is one of the oldest and most highly cited media outlets in the country, and is part of the 'Big Three' along with RIA Novosti and Interfax. The study uses semi-structured expert interviews with agency media managers, analysis of open data, and observation method. The hypothesis is that the editorial offices of the news agency have diversified their processes as much as possible due to the importance of b2c platforms in the editorial practice of the media, which is also reflected in the restructuring of divisions (increase in departments, groups, the emergence of new specialists). The novelty of the study lies in the description and analysis of the work of key structural divisions of a news agency, which has not previously been studied in academic discourse and has not been studied in detail in the news media industry. The editorial activities of TASS are one of the subjects of a large comprehensive study of the transformation of business processes of federal news agencies in Russia. In this article, the author conducts an audit of current business processes and identifies expert assessments regarding the development of such processes.

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: информационное агентстворедакцияa news agencyТАССEditorialTASS
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