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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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Институциональное и культурное направления в экономике развития: предпосылки относительно мотивации агентов как источник разногласий

Журнал Новой экономической ассоциации. 2020. Т. 46. № 2. С. 139–156.
Bakeev M.

In this paper we address the methodological discrepancies that exist between institutional and cultural approaches in modern literature devoted to the study of reasons for economic development in the long historical perspective. We analyze in detail and compare the ontological assumptions of the theories of key representatives of the institutional (D. Acemoglu, J. Robinson and D. North) and cultural research directions (J. Mokyr, D. McCloskey). We show that traditional ways of conceptualizing are insufficient for understanding the actual source of methodological disagreements existing between these approaches. We argue that the reason for such disagreements is
the difference in implicit ontological assumptions regarding the motivation of agents between the theories under consideration. The authors of institutional theories, who do not consider it necessary to assign an independent role to cultural factors along with institutional ones, at the level of ontological assumptions reject the possibility of exogenous changes in the internal motivation of agents. At the same time, the authors of cultural theories, who distinguish institutional and cultural factors as independent from each other, in their theories acknowledge the presence of exogenous shocks of internal motivation and their potentially important role in economic changes. This discrepancy determines, on the one hand, the deductive nature of analytical narratives within the institutional research direction, and on the other hand, the inductive nature of the historical argumentation of representatives of the cultural research direction.

Research target: Economics and Management Philosophy, Ethics, and Religious Studies Sociology (including Demography and Anthropology History and Archeology
Language: Russian
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Keywords: экономическое развитиеcultureeconomic developmentмотивацияинститутыinstitutionsmotivationидеиideas культураontological assumptionsscientific disputesонтологические предпосылкинаучные споры
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