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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.
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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.
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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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INTERNATIONAL STUDENT ADAPTATION IN RUSSIAN UNIVERSITIES (LOMONOSOV MOSCOW STATE UNIVERSITY AND RUDN UNIVERSITY)

P. 4841–4846.
Shchelokova S., Dugalich N.

This article discusses the problem of adaptation of students studying in a foreign country. Despite the active development of the Bologna process and the gradual unification of requirements for the learning process, students studying in foreign universities face a number of difficulties associated not only with their studies, but also with the degree of integration into an unfamiliar society and knowledge of its cultural peculiarities.

The need to pay special attention to this problem in Russian universities exists for several reasons. First, the Russian society is multicultural and multinational. According to the 2010 All-Russian Census, representatives of 195 ethnic groups live in the Russian Federation and we cannot ignore their traditions, customs, and sociocultural characteristics. 

Secondly, the integration of Russian universities into the international education system (for example, the Bologna process), the development of international cooperation, and the desire to strengthen their positions in the rankings of higher education institutions (among which one of the criteria is the proportion of foreign students), all these make us deal with those problems that hinder foreign students’ training and adaptation in Russian universities. These problems are connected with cultural features, pedagogical technologies, and other internal and external factors of a new country. The number of foreign students in Russian universities increases annually, for example, in 2018 the number of foreign students in Russia increased by 10%.

These trends determine the importance of the issues raised by the authors in this research. First, the article describes the experience of two leading Russian universities (Lomonosov Moscow State University and RUDN University) in building an adaptation system for foreign students. The specificity of these universities leads to different multicultural and polyethnic composition of students: LMSU is currently oriented on training Asian students, the proportion of whom is significantly increasing. RUDN University, on the other hand, mainly focuses on training students from Africa, Latin America and the Middle East students. Secondly, the authors suggest the results of their research to identify problems, teachers and students face in the process of implementing educational programs in Russian universities. This makes it possible to identify both common successful practices for adaptation in the Russian environment, and the specificity of adaptation of people from different countries and cultures.

Language: English
DOI
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Keywords: higher education institutions foreign students international education systemstudent's trainings

In book

13th International Technology, Education and Development Conference (INTED)
Valencia: IATED Academy, 2019.
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