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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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Возможности метода SDM в изучении социального бессознательного и его влияние на проведение тематических групп

Журнал клинического и прикладного психоанализа. 2024. Т. 5. № 2. С. 77–107.
Shapovalova E., дадыка А. В.

In this article, an attempt is made to explore the possibilities of thematic application of the method of the social matrix of dreams by Gordon Lawrence, to study the unconscious context of social experience and to mobilize the thinking abilities of the matrix participants to comprehend new meanings. The increase in the number of social connections through modern technologies expands the field of the social unconscious context that affects a person on a daily basis. Sleep is the receptacle of the unconscious.

This article begins with a brief overview of the general theoretical foundations of the method, followed by a more detailed analysis of the practical application of the method on the example of the thematic group "Leader stability during uncertainty". At the end of the article, conclusions are presented that can be useful for the further development of the SDM method and its successful application both in organizations and in thematic groups.

Research target: Psychology Economics and Management
Language: Russian
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Keywords: лидерстворабочая группаleadershipсновидениясвободные ассоциацииdreamsfree associationssocial dreaming matrixsocial unconsciousworking groupсоциальная матрица сновиденийсоциальное бессознательное
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