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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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НАУКА В СОВРЕМЕННОМ ОБЩЕСТВЕ: ЗАКОНОМЕРНОСТИ И ТЕНДЕНЦИИ РАЗВИТИЯ

Ч. 5. Ufa : Общество с ограниченной ответственностью "Аэтерна", 2017.
Editor-in-chief: А. А. СУКИАСЯН

This collection is based on the results of the International scientific and practical conference " SCIENCE in MODERN SOCIETY: REGULARITIES AND trends of DEVELOPMENT", held on November 10, 2017 in Orenburg. The collection of articles deals with modern issues of science, education and the practice of applying the results of scientific research. the Collection is intended for a wide range of readers interested in research and development, researchers and teachers, teachers, doctoral students, postgraduates, undergraduates and students for use in scientific work and educational activities. All articles are reviewed (peer-reviewed). The point of view of the editorial Board does not always coincide with the point of view of the authors of published articles. Articles are presented in the author's edition. The authors of published materials are responsible for the authenticity and accuracy of quotations, names, titles, and other information, as well as for compliance with intellectual property laws. When reprinting the materials of the collection of articles of the International scientific and practical conference, a link to the collection of articles is required.

Language: Russian
Text on another site
Keywords: наука и обществоscience and society
НАУКА В СОВРЕМЕННОМ ОБЩЕСТВЕ: ЗАКОНОМЕРНОСТИ И ТЕНДЕНЦИИ РАЗВИТИЯ
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