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News
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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Принцип нетранзитивности превосходства в разных парадигмах

Вопросы психологии. 2019. № 2. С. 3–16.
Poddiakov A.

The article discusses approaches to objective nontransitiveness of superiority (A is superior, more competitive than B, B - C, C - A) in several scientific areas (mathematics, biology, economics, decision-taking theory) which have turned nontransitiveness of superiority into an object of special research. The author analyzes relations between the ‘mainstream’ in a specific area and ‘dissent’ conflicting with the dominant paradigm. The author suggests two interconnected but insufficient explanations of the state of things: 1) specificity of levels of reality studied in a specific scientific area; 2) specificity of basic provisions (axioms) related not only to specificity of the reality being studied, but also to peculiarities of evolution caused by laws of sociology and psychology of scientific research. It is possible to roughly define 4 levels of complexity of non-transitiveness: a) simple combinatory nontransitiveness of non-interacting objects; b) simple interactive non-transitiveness of objects that interact without changing their quality; c) interactive non-transitiveness accompanied by qualitative transformations of objects engaged in interactions; d) rhizome non-transitiveness caused by multiple links and interactions of complex systems accompanied by qualitative transformations. The classic axiom of transitiveness of superiority (if A>B and B>C, then A>C) was based on notions of the world which, in retrospective, seem naive. Further development of science uncovered examples which, in I. Lakatos’s terms, were ‘monsters’ for theories based on the above axiom. But for other researchers objective non-transitiveness is not a monster, not an ugly duckling, but a swan caught in the net of scientific thought when it transgresses the limits of the simplistic Neutonian model of the world.

Research target: Mathematics Mechanics and Mechanical Engineering Psychology Biology Sociology (including Demography and Anthropology
Priority areas: economics sociology humanitarian mathematics engineering science
Language: Russian
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Keywords: социология научного знаниянетранзитивность превосходстванаучные парадигмыпсихология научного знанияисследовательские программыдоказательства и опровержения
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