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  • Ученые и академический класс будущего: случай наукограда Дубны
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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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Ученые и академический класс будущего: случай наукограда Дубны

M. : Издательство "Креативная экономика", 2026.
Suvalko A.
Academic editor: Kosmarsky A.

The author focuses on the "academic class," which includes scientists, engineers, and highly qualified specialists, and the conditions necessary for their productive work and comfortable life. The study is based on in-depth interviews with female scientists, female administrative staff of JINR, and spouses of scientists, as well as an analysis of open data. The author analyzes the appeal of the Joint Institute for Nuclear Research (JINR) as a workplace, highlighting its international status, unique infrastructure, and the stability of long-term careers. The book examines the challenges facing "naukograds" (science cities) today: limitations on academic mobility, the risk of scientific provincialism, the outflow of young talent from fundamental science to the IT sector, and issues related to the portrayal of scientists in popular culture. Particular attention is paid to the creation of a comfortable urban environment, the role of social and cultural infrastructure, and the importance of addressing the needs of scientists' families. The potential of scientific tourism and the development of creative industries in Dubna are also discussed.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
Keywords: социология знаниянаукоградакадемический классДубнакреативный класс
Ученые и академический класс будущего: случай наукограда Дубны
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