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News
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.
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.

 

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Ключевые барьеры на пути трансформации социально-политической системы России

Вопросы политологии. 2021. Т. 11. № 1(65). С. 124–129.
Ovchinnikov P.

The article attempts to identify the main barriers to the transformation of the socio-political system of Russia in the context of the influence of key factors: digitalization, urbanization and generational changes. Among the factors hindering the development of society, the author identifies the following: bureaucratization of the political system, low level of social ties, high rates of distrust in society, pessimism, insufficient transparency of government bodies. In the author's opinion, in order to fulfill their requests, citizens and interested groups within the system will have to overcome the above-mentioned negative factors and become independent actors in the political process (to gain political subjectivity). Overcoming negative factors, increasing the role of social capital and eliminating the trap of distrust will allow Russian society to develop further, becoming a serious political force and an equal actor in the political field.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
DOI
Keywords: урбанизацияurbanizationцифровизацияdigitalization
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