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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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Géocultures. Méthodologies russes sur l’Arctique

Presses de l’Université du Québec, Imaginaire Nord, 2020.
Zamyatin D., Romanova E., Dobjanskaya O., Lavrenova O., Chartier D.
Academic editor: D. Chartier
Translator: M. Samsonova

The purpose of this book is to show the specifics of the formation of cultural landscapes and geocultural images of Northern and Arctic cities in the context of the concept of post-urbanism. The ontological and phenomenological category of cold, which is key for understanding this specificity, has a decisive influence on the formation of both material and expressive (mental) environments and identities of the inhabitants of Northern cities. The image of cold can be considered as an important component of the symbolic capital of the Northern and Arctic cities, as well as a field of implementation and struggle of various post-colonial practices.

Chapters
L’ontologie du froid, les images culturelles et les représentations de paysages culturels des villes du Nord et de l’Arctique
Zamyatin D., , in: Géocultures. Méthodologies russes sur l’Arctique.: Presses de l’Université du Québec, Imaginaire Nord, 2020. Ch. 2 P. 37–68.
The purpose of this article is to show the specifics of the formation of cultural landscapes and geocultural images of Northern and Arctic cities in the context of the concept of post-urbanism. The ontological and phenomenological category of cold, which is key for understanding this specificity, has a decisive influence on the formation of both ...
Added: October 28, 2020
Research target: Humanities Social and Economic Geography (including Urban and Transportation Studies) Earth Sciences Sociology (including Demography and Anthropology
Priority areas: humanitarian
Language: French
Sample Chapter
Full text
Text on another site
Keywords: АрктикаArcticгеокультуракультурный ландшафтгеографический образgeo-culturegeographical image,cultural landscapecoldхолод
Géocultures. Méthodologies russes sur l’Arctique
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