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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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Interactive Exploratory Objects: From Laboratory Experiments to Mass Practices of the XXI Century

Psychology. Journal of the Higher School of Economics. 2018. Vol. 15. No. 4. P. 656–674.
Poddiakov A., Poddiakov N.

The paper is focused on the history and modern practices of creating and applying interactive exploratory objects and worlds that provoke curiosity in the individual and require exploration and experimentation to learn them and to achieve practical goals. The development, use and demonstration of a wide range of exploratory objects (play, educational, psycho-diagnostic, etc.) in various fields reflects an increasingly wide spread belief: one of the basic human abilities that is needed now and will be in demand in the future is the ability to cope with novelty, including through active exploration and experimentation. Five interrelated directions for the development and popularization of exploratory objects are identified: science; educational practice; assessment; game practices; and literature, art, official and unofficial journalism. Parameters of specially developed interactive exploratory objects and worlds in the context of preparing for encounters with novelty and complexity are discussed. The triangle of tests of intelligence, creativity and exploratory behavior in the space of regulation – freedom is presented. Two types of motivational challenges when exploring new objects are described: exploration for the sake of the very process of cognition and exploration for the sake of desired practical effects. The issue of features of exploratory objects that stimulate posing and solving epistemic problems rather than pragmatic problems, and vice versa, is raised. In conclusion, possible reasons for the mass development and supply of exploratory objects and worlds are formulated.

Research target: Psychology Sociology (including Demography and Anthropology Education Media and Communications
Priority areas: sociology humanitarian
Language: English
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Text on another site
Keywords: educationcreativityintelligencegamesexperimentationexploratory behaviorinteractive exploratory objects
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