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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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The Principles and Approach Support the Mapping of the Personal Study Pathway in Electronic Educational Environments

Procedia Computer Science. 2014. No. 35. P. 560–569.
Taratuhina Y., Avdeeva Z., Mirishli D. F.
In this paper the authors examine the theoretical background of formation of personalized strategies in electronic educational environment. It is assumed that personal study pathway is a conscious “design” of the student competence profile. The article designates parameters, which later will form the basis for constructing model of personal study pathway. Therefore the paper consists of several sections that propose (1) general topics of the approach; (2) the principles and the general model for supporting of mapping of the personal study pathway in electronic educational environment; (3) report on approach application in progress
Research target: Education Computer Science
Language: English
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DOI
Text on another site
Keywords: компетентностный подход в образованииэлектронная образовательная средаpersonal study pathwayelectronic educational environmentcompetence-based approach in educationcultural and cognitive profileиндивидуальная образовательная траекториякультурно-когнитивный профиль
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