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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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О некоторых типологических характеристиках андийских глагольных систем

Вопросы языкознания. 2024. № 6. С. 32–57.
Filatov K.

Despite the fact that Andic languages (Avar-Andic < East-Caucasian) are widely recognised as agglutinating, their verbal systems barely demonstrate any agglutinating properties. The most important characteristic of these systems is the incomplete orthogonality of grammatical categories, and the related property of semantic non-additivity or morphological idiomaticity. In terms of morphotactic structure, different Andic systems can be either morphotactically complex or simplex. The difference is related to the intensity of fusional processes in the system. The relationship between the structures of semantic and formal oppositions in such systems is opaque. Many formatives in formally additive systems exhibit morphomic properties, and their decreased combinatorial properties are manifested in the hierarchical structure of the paradigm. From typological perspective, such properties for systems expressing predominantly TAM meanings are not unexpected. The paper proposes a number of diachronic considerations to explain the observed properties of the systems. Non-orthogonality and semantic non-additivity can be explained by asynchronous grammaticalization, preventing the formation of orthogonal categories with additive means of expression, which, in turn, is related to different stability of meanings in the system and different rates of their diachronic renovation. Morphomic and hierarchical structures in the paradigm arise due to layering and due to grammatical drift leading to polysemic and heterosemic meaning structures of markers.

Research target: Philology and Linguistics
Language: Russian
DOI
Keywords: FusionAndic languagesdiachronic typologyдиахроническая типологияграмматические категорииinflectional featuresverbal grammatical systemsандийские языкифузияглагольные системы
Publication based on the results of:
Computational methods in linguistic convergence study (2024)
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