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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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Некоторые замечания о требованиях к научной теории в контексте многомировых моделей

Вопросы философии. 2024. № 5. С. 140–146.
Karpenko I.

The article discusses the problem of a correct description of reality in science and philosophy, taking into account the acceptance of the many-world hypothesis. Many-worlds are understood as modern physical hypotheses that allow the existence of other universes (many-world interpretation, chaotic inflation, string landscape, and others). It is shown that these models are likely to challenge the traditional intellectual intuition on which classical science is built: they require new methodological approaches, and perhaps a new epistemology in general. Some requirements of classical logic, based on principles such as the laws of non-contradiction or the excluded middle, may turn out to be incorrect and even counterintuitive under many-world hypotheses. It is suggested that some logical systems (paraconsistent logic, quantum logic) may in the future become an ontological and epistemological foundation for the concepts of many-world physical reality. It is concluded that the considered multi-world models in conjunction with the indicated logics are more intuitively acceptable, since they allow getting rid of not only a number of cosmological problems (for example, fine tuning), but also problems of a logical and mathematical nature arising from the considered traditional requirements for formal systems.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
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DOI
Text on another site
Keywords: философия наукилогикаconsistencylogiccontradictionphilosophy of scienceнепротиворечивостьпротиворечиеtheories of many worldsintellectual intuitionтеории множества мировинтеллектуальная интуиция
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