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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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Российское эпидемиологическое исследование ЭВКАЛИПТ: протокол и базовые характеристики участников

Российский журнал гериатрической медицины. 2021. № 1. С. 35–43.
Воробьева Н. М., Ткачева О. Н., Котовская Ю. В., Ovcharova L., Selezneva E.

Objective: to  evaluate prevalence of  age-related and chronic non-infectious diseases, senile asthenia and other geriatric syndromes in subjects aged ≥65 years old and to analyze their influence on general health and functional status.

Methods: 4308 subjects (30% males) aged from 65 to 107 years (mean age 78±8 years), who live in 11 Russian regions, were examined. They were divided in 3 groups by age: 65–74, 75–84 and ≥85 years. All subjects passed comprehensive geriatric assessment in 2 stages: 1) questioning based on a specially designed questionnaire; 2) physical examination.

Results: age increase is  associated with decrease of  anthropometric parameters (height, weight, body mass index), decrease of  diastolic blood pressure, increase of  pulse blood pressure and deterioration of  social-economic status of elderlies (increase of those who out lived their partners, living alone and in institution/ nursing home, single (no partners) and disabled subjects; decrease in  proportion of  married and still working ones, subjects with university degree and higher income).

Conclusion: Russian EVKALIPT study protocol and basic characteristics of participants are summarized in the article.

Research target: Clinical Medicine
Priority areas: sociology
Language: Russian
DOI
Keywords: пожилой возрастпротоколelderlybasic characteristicsepidemiological studyэпидемиологическое исследованиеprotocolбазовые характеристики
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