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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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Право на ремикс: идеи и оригинальные формы музыкального творчества

Государство и право (Российская Федерация). 2022. № 8. С. 46–62.
Р. А. Будник

The modern stage of development of creativity is characterized by an increase in the manufacturability of this type of activity. The art of making popular music fits into this trend, highlighting its advantages and disadvantages most vividly. The peculiarity of popular music production is the repetition of standard expressive means, which have proven to be attractive. The copying of popular fragments and spectacular musical techniques became widespread, resulting in the formation of sound remix culture. Against this background, the number of disputes over the boundaries of legal borrowing of musical material has increased in the courts of the world. In the media sphere, examples of unlawful appropriation of fragments from popular songs that violate the rights of their composers, performers, and producers of phonograms are discussed. To resolve such disputes, specialized procedures have been developed in the world, the results of which are criticized. This article discusses various approaches to the legal qualification of copying musical material. The phenomenon of the formation of musical standards, repetitive elements, techniques, and clichés, which are proposed to be classified as unguarded musical ideas at the doctrinal level, is investigated. The methods used to establish copyright infringement, to identify the facts of unlawful appropriation of musical material, and significant similarity of works are analyzed. Our attention is drawn to the test of the unique quality of a musical work and its justification from the point of view of the principles of copyright. To make decisions on music copying cases, we propose to use data on the quantitative ratio of protected and unprotected material in the compared works, as well as on the sources of borrowing that can be obtained using computer music recognition tools.

Research target: Law Economics and Management
Language: Russian
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Text on another site
Keywords: плагиаттестplagiarismприсвоение авторствазаимствованиеидеяderivative workпроизводное произведениеремиксappropriationmusic remixmusical ideasunique quality testтест уникального качествамузыкальный ремикс
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