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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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Конкурентные стратегии фрилансеров старшего возраста на электронных трудовых платформах

Мониторинг общественного мнения: Экономические и социальные перемены. 2022. № 2(168). С. 207–222.
Kartuzova M.

The article analyzes the behavioral strategies of older freelancers, aimed at helping them to compete with younger workers at the digital labor platforms. On such platforms, the self-employed offer their services mostly for one-time jobs for a monetary reward and within the framework moderated and supported by an information system using computer algorithms. This system can be seen as a kind of “showcase”: on the one hand, we have standardized questionnaires of service providers (with a description of their skills and previous experience, a portfolio with reviews, a range of tasks performed), and on the other hand, customer requests for certain works. Empirically, the study bases on the materials of 20 semi-structured interviews with self-employed people aged 50 to 73 living in Russia. Our informants earn a living by tutoring, translating, writing diplomas, creating and promoting websites, as well as selling photo materials for stock sites. Based on the results of the analysis of semi-structured interviews, the author identifies and discusses several categories, namely, the perception of competition on the platform through the prism of the age of a freelancer and the concepts of a strategy leading to obtaining an order: an inventory of one's own accumulated human capital, "spying on ideas" from younger providers, and forming a pool of regular customers in order to refuse from further use of the digital platform.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Keywords: пенсионерыфрилансерысамозанятостьfreelancersespionageretireesolder ageконкурентная разведкаself-employmentdigital labor platformцифровые трудовые платформыстарший возраст
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