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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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Acceleration of Education in the Cluster Structure of the Economy

P. 115–124.
Kazakov V., Vinogradova O., Nametkin D., Vereshchak A., Vereshchak S.

The article discusses the issues of integrating an educational subject into an economic cluster. The authors describe the world experience of integration, the choice of the category of the cluster, which is most suitable for the development of the educational element, is given based on the structure, composition, and location of the cluster. The purpose of the study is to identify and refine the ways of development of education as a subject of the cluster structure of the economy based on the analysis of foreign and Russian experience, published scientific research. Methodological tools are selected taking into account specific goals and objectives of the work. This research is based on an interdisciplinary approach, abstract-logical, systemic, dialectical, and other methods of scientific cognition, which made it possible to identify and substantiate the main directions of the development of education in the context of cluster integration, were used. The authors have reasonably selected the innovative conduct of scientific and educational activities; improving the material and technical base; network arrangement of an educational subject; development of a scientific school in the direction of the economic activity of the cluster; development based on synergy and economies of scale as the main directions of accelerating education. The authors proposed the ranking of the elements of the educational subject by weight coefficients and the use of a number of estimated indicators of the development of education in order to improve the efficiency of management.

Language: English
DOI
Text on another site
Keywords: ClusterEducational subjectModular device Competition innovation activity

In book

Digital Education in Russia and Central Asia
Digital Education in Russia and Central Asia
Singapore: Springer, 2022.
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