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  • Проблема авторской идентичности в музыкальном искусстве в разрезе философских концепций Дэвида Блура и Бруно Латура
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Subject
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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Проблема авторской идентичности в музыкальном искусстве в разрезе философских концепций Дэвида Блура и Бруно Латура

Человек: образ и сущность. Гуманитарные аспекты. 2024. № 4.
Evpak E.

The article deals with the phenomenon of art critical category of “author’s identity” in relation to human composers and non-human music neural networks described in terms of philosophic concepts of David Bloor’s “strong program of knowledge” and Bruno Latour’s “actor-network theory”. The research methodology implies historical-genetic and critical analysis of philosophic concepts towards music and the nature of its authors, reflected in the theoretical concepts of ancient Greek philosophers and developed by Vienna’s scholars, that lead the critical theory to the ideas of de-humanization of the author’s identity in the art, as declared by Blur and Latour.

Language: Russian
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Keywords: actor-network theoryакторно-сетевая теориятеория аффектаauthor’s identity in musicstrong program of knowledgeharmony of spheresmusic metalanguageaffection theorymetaphysical and algorithmic nature of music compositionприрода автора в музыкесильная программа знаниягармония сфермузыкальный метаязыкметафизическая и алгоритмическая природа музыкального творчества
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