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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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Функциональная модель влияния системы высшего образования на устойчивое развитие региона

Вестник Пермского национального исследовательского политехнического университета. Социально-экономические науки. 2021. № 3. С. 241–256.
О. В. Котомина

The concept of sustainable development (SD) is aimed at preserving life on Earth and ensuring a decent level of life for the present and future generations. It also addresses modern global challenges. The transition to SD implies a revision of existing values in the economics, ecology and social life. In this regard, education plays the most important role because it is responsible for the formation of the attitudes of a younger generation, and progress in the transformation of formal and informal institutional frameworks.

In order to realize these processes The UN has developed the global program “Education for Sus- tainable Development” (ESD) and formulated one of the specialized goals in the system of seventeen sustainable development goals approved by the UN for 2016–2030. Higher education plays a special role there, since it not only creates and disseminates knowledge about SD, but also influences the process of making future decisions by managers of various levels. In doing so, the question of how higher education systems can influence sustainable development becomes topical. This issue is especially relevant for the regions since that the regional system of higher education, as a rule, is focused on the needs of the re- gion in training professional personnel and conducting scientific research.

The paper presents a functional model of the higher education system impact on the region sus- tainable development. The novelty of the model is that it is developed on the basis of a functional ap- proach and takes into account the mutual influence of the higher education system and the external envi- ronment in which it operates. Such a model will expand the methodological tools for analyzing the func- tionality or dysfunctionality of the regional higher education system and understanding the channels of its influence on the sustainable development of the region.

Research target: Economics and Management Education
Language: Russian
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Keywords: университетфункцияuniversityfunctionсистема высшего образованияhigher education systemsustainable development of the regionустойчивое развитие региона
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