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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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Правовой режим данных в эпоху больших данных: правовые дилеммы и способы их разрешения

Закон. 2025. № 9. С. 91–100.
Лескина Э. И., Panarina M.

The article studies the matter of finding the optimal legal regime for different categories of data. Legal problems related to the turnover of big data arise due to the lack of a unified legal framework for regulating the turnover of big data, a variety of data sources and ways to use them. Based on the analysis of regulatory legal acts, current judicial practice and legal doctrine, the authors offer recommendations for updating current legislation in the field of local regulatory regulation of acts containing ethical rules in the field of data analytics and the use of artificial intelligence in labour relations, and also deternination of the legal regime for the protection of big data with due regard to the development of new technologies, as well as the development of internal ethical rules of organisations working with big data.

Research target: Law
Language: Russian
Full text
Keywords: правовой режимlegal regimebig dataоборот данных большие данныеdata turnover
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