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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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Использование онтологии в электрокардиографии

Доктор.Ру. 2013. № 6 (84). С. 71–75.
Атабаева В. Д., Korsakov I. N., Raznometov D. A.
In press

Summary Objective of the Paper: To find ways to meet the need for specifying terminology and developing a format to describe knowledge in specific subject areas (SA) that will be effective, easily-accessible and clear for both people and programs. This is related to terms, their relationships, models of ECG devices, filters, etc. Key Points: The use of ontology facilitates the following: - a repeated use of knowledge in SA; - a differentiation of the knowledge related to SA from operational knowledge; - a shared general understanding of the information structure among people and programs. An ontology carefully developed for one SA can then be used in other SAs. Moreover, several existent ontologies describing some subdomains of a large SA can be integrated when it is required to create a big ontology. Conclusion: Any SA can have countless ontologies, as each new ontology is just another way to structure concepts and their relationships. Modern doctors must be able to use medical information technologies in their everyday practices, which help them to not waste time on routine calculations and save time and energy for solving current problems. Keywords: electrocardiogram (ECG), telemedicine, ontology, SCP-ECG, OWL.

Research target: Basic Medicine Health Studies
Priority areas: IT and mathematics
Language: Russian
Full text
Keywords: онтологияontologyэлектрокардиограммателемедицинаSCP-ECGelectrocardiogram (ECG),telemedicine SCP-ECGOWL
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