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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.
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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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Фейки: коммуникация, смыслы, ответственность

СПб. : Aletheya, 2021.
Золян С. Т., Пробст Н. А., Сладкевич Ж. Р., Tulchinskii G. L.
Academic editor: Tulchinskii G. L.
Under the general editorship: Tulchinskii G. L.

The collective monograph is an attempt at an interdisciplinary analysis of the communicative and civilizational nature of the phenomenon of fakes and post-truth, including evaluative and emotional factors in the formation and dynamics of the semantic picture of the world, taking into account modern media technologies. The semantics and pragmatics of fakes, their dependence on target contexts, socio-cultural practices, the generation and use of fakes in network communication, conflicts of historical memory and information wars are considered in detail. Special attention is paid to the personological dimension of fakes, the imbalance between rights, freedom and responsibility in public communication. Thus, the emphasis in comprehending the fakes is shifted from the assessment of truth to the attitude towards the truth, to the responsibility for “taking the word”.
The book is intended for specialists and a wide range of people interested in the problems of modern social communication.

Research target: Social Sciences Humanities
Language: Russian
Full text
Keywords: медиакоммуникацияcommunicationответственностьконтентcontentresponsibility mediafakeфейкparrhesiaпарресия
Фейки: коммуникация, смыслы, ответственность
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