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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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Эмодукты счастья: коммодификация и маркетинговые стратегии в популярной психологии

Экономическая социология. 2026. Т. 27. № 1. С. 92–124.
Matkin N., Novikova A.

In the context of the growing demand for psychological services in Russia and the spread of therapeutic culture, digital platforms like YouTube are becoming a key locus for the commercialization of emotions. However, the mechanisms of commodification, particularly concerning happiness, remain underexplored in this digital environment. This article examines how popular Russian psychological bloggers on YouTube construct, package, and commodify the abstract concept of ‘happiness’ as a standardized commodity, which we term an ‘emodity.’ The research employs a sequential explanatory mixed-methods design, combining quantitative (content analysis and thematic modeling of 118 videos) and qualitative (analysis of rhetorical and performative strategies) approaches. The analysis reveals four dominant marketing personas—‘academic’, ‘esoteric’, ‘caring’, and ‘hybrid’. These are built upon three primary performative goals: establishing authority (via science, wisdom, or personal experience), diagnosing consumer problems (often by invoking Soviet history or gender stereotypes), and presenting distinct ‘emodity’ packages (conceptualized as either reflective psychology or positive psychology). Furthermore, these strategies correspond to different models of audience engagement, aimed at either maximizing reach, cultivating loyalty, or generating viral content. The study adapts and ap- plies the concept of ‘emodities’ to the Russian therapeutic culture, describing how the Western individualistic therapeutic narrative becomes ‘commensurate’ with the post-Soviet social imaginary. The article contributes to economic sociology by demonstrating how the digital market for emotions transforms collective social anxieties into individualized consumer practices.

Research target: Sociology (including Demography and Anthropology Media and Communications Economics and Management
Language: Russian
DOI
Text on another site
Keywords: счастьеhappinessтематическое моделированиецифровые платформытерапевтическая культураtherapeutic cultureThematic modelingemoditysocial masksmarketing positioningэмодуктсоциальные маскимаркетинговое позиционирование
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