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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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Невзаимозаменяемые токены (NFT) и токенизация в спорте: сравнительный анализ правового регулирования

Евразийский юридический журнал. 2025. № 9 (208). С. 167–171.
Khusainov G.

This article provides a comprehensive analysis of the legal aspects of applying distributed ledger technology (blockchain) and tokenization of assets in the field of physical culture and sports. It examines key areas of implementation for these technologies, including the issuance of tokenized assets, the release of non-fungible tokens (NFTs), the creation of loyalty systems based on fan tokens, and combating the trade in counterfeit products. The central focus of the work is a comparative legal analysis of regulatory models established in various jurisdictions (USA, EU, UAE, Switzerland, Singapore), highlighting three dominant approaches: restrictive (USA), harmonized (EU), and stimulating (UAE, Switzerland). Particular attention is paid to the qualification of tokenized assets and non-fungible tokens (NFTs), issues of the extraterritorial application of national legislation, and the analysis of emerging judicial practice. A separate section discusses specific legal risks and barriers to market development in the Russian Federation, stemming from the current ban on cryptocurrency payments and the lack of legal definitions for NFTs. Based on the research findings, conclusions are drawn on the necessity of developing an industry-specific classification and creating a specialized experimental legal regime ("regulatory sandbox") to mitigate legal uncertainty.

Research target: Law Economics and Management
Language: Russian
Text on another site
Keywords: СШАРоссийская Федерациясравнительно-правовой анализправовые рискиОАЭтокенизацияNFTневзаимозаменяемые токеныБлокчейнHowey Testрегуляторные моделирегламент MiCA
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