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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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Логики сознания

Вестник Ивановского государственного университета. Серия: Гуманитарные науки. 2022. № 3. С. 151–158.
Vasyukov V. L.

The author focuses on the question of the possibility of using a network approach to study thinking provoked by studies of the structure of the brain (neural networks). The use of logical calculus as a network (conclusions as graph edges) is proposed. It is fixed that if we consider the so-called post-systems as these calculi, then the inference rules are considered simply as the rules for the transition from one abstract object to another within the framework of an abstract “quasi-logical” system (neural network). It is substantiated that it is possible to associate with neural “logic” logical systems that describe various types of connections of mental states, using the method of combining logical systems. It has been established that such a logical technique allows for a pair of such “logics” to find some “united” logical system that will have all the properties determined by the succession relations of both systems. Based on the Wittgensteinian position, according to which “logical sentences describe the scaffolding of the world, or rather depict them”, the conclusion is made about the heuristic nature of such an “image” of the consciousness functioning.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
Full text
DOI
Keywords: сознаниеметодологиязнаниеmeaningconsciousnessпознаниеmethodologycognitionknowledge смыслы
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