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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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Международные индексы как инструмент оценки развития государств

Друкеровский вестник. 2019. № 1(27). С. 70–85.
Arkhipova M., Кулиш М. Ю., Соболев М. А.

This article is devoted to the study of the main country development aspects in current conditions. It has been proposed to use the international indices as a tool for analyzing and evaluating the state’s development. The article also shows the necessity of statistical practices applying for the formation of an objective view of the current global processes, their correct perception and interpretation. Particular attention is paid to the selection of the most appropriate international indices and methods for analyzing the selected data set in order to build a development classification map. This map, received on the results of principal component method and cluster analysis, allows to determine the groups of similar developed countries and regions.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology Economics and Management
Language: Russian
DOI
Text on another site
Keywords: инновациистатистикаинновационная экономикаstatisticsсоциально-экономическое развитиеиндексынациональная инновационная системаnational innovation systemdata mininginnovative economyinnovation developmentindicesинтеллектуальный анализ данныхинновационное и технологическое развитиеsocial and economic developmentInnovations
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