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  • Возможности трансплантации политических институтов при торговле технологиями: результаты сетевого анализа в сравнительной перспективе
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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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Возможности трансплантации политических институтов при торговле технологиями: результаты сетевого анализа в сравнительной перспективе

Вестник Томского государственного университета. Философия. Социология. Политология. 2022. № 65. С. 310–327.
Turobov A.

The study aims to analyze the network structure of trade relations in 38 countries and is based on data from the World Trade Organization. The popular concept of digitalization drives the focus of the study on technology trade. Comparative logic is implemented by analyzing networks for two time periods: 2013 and 2019. The analysis of trade networks of countries allows resolving the existing contradiction about the impact of international trade on the institutions’ transplantation. On the one hand, it argues that international trade enhances the transplantation of institutions and leads to democratization. On the other, it claims that authoritarian regimes can apply and develop technologies without exposing their own regime to change threats. As a result, it was established that the autocracies occupied positions similar to those of democracies in both periods. The Russian Federation occupies a leading position in the network structure of trade relations. There is no isolating attitude towards autocracies; moreover, a regime practically does not play a role in trade relations. Over the past six years, the countries’ positions in trade relations have not changed despite a radical change in the political discourse regarding the Russian Federation and China. The results of the network analysis allowed mapping the international technology trade landscape. Authoritarian states are not “outcasts” but rather active participants in international trade relations without exposing the internal authoritarian regime to threats (the regime’s adaptation and the stability of authoritarian institutions). In other words, “business is business” despite the regime differences. Another assumption of the study was that the transplanting process of authoritarian institutions is more successful than that of democratic institutions. This as- sumption requires an independent and more detailed study in the future. However, it has an empirical basis and looks promising in the context of the explanatory power of modern politiical processes in different countries.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: международная торговлятехнологиидемократизациясетевой анализinternational tradetechnologydemocratizationnetwork analysisinstitutional transplantationрежимыregimesтрансплантация институтов
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