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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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Типология институтов генерации научных знаний университетами

Университетское управление: практика и анализ. 2017. Т. 21. № 6. С. 28–40.
Попов Е. В., Сандлер Д. Г., Попова Н. Г., Kochetkov D., Баженова В. И.

The effectiveness of scientific knowledge generation in the new economy becomes critical for the functioning of the economic system. University is the main «producer» of scientific knowledge and a key actor of economic transformation at each level of analysis (country, region, city). There are many models for evaluating universities' impact on the regional economies. The aim of the work is the development of a common tool for analysis based on the institutional economic theory. The methodological basis of the work is the model of institutional configuration of knowledge generation. To bridge the artificial gap in the subject-object relationship, the problem has been analyzed on the basis of the methodological unity of the actors, stakeholders and institutions, as well as their interrelations with the environment (natural, political, social, economic, cultural). The authors have proposed an original institutional typology of knowledge generation by universities based on the popular model of corporate knowledge management SECI. By means of this model, the institutions of socialization, externalization, combination and internalization of knowledge were identified. A number of indicators has been formulated that can be used for the purposes of indicative planning and statistical analysis. The results of the work can be also used to conduct further theoretical and applied research in the field of analysis of regional higher education systems. In addition, the model is of potential interest for politicians in the development of regional and national educational policies.

Research target: Education Economics and Management
Priority areas: management
Language: Russian
DOI
Text on another site
Keywords: высшее образованиерегиональная экономикатипологияregional economyинститутtypologyгенерация знанийhigher educationknowledge generationtacit knowledgeнеявное знаниеinstitutioninstitutional configurationexplicit knowledgeинституциональная конфигурацияявное знание
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