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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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Activism and Patient Vulnerability: Resistance to Medical Authority and Regulation in Russia

FOLKLORICA. Journal of the Slavic and East European Folklore Association. 2022. Vol. 26. P. 1–33.
Kuksa T.

The paper analyzes the opposition and adaptation of Russian patients, independent perinatal specialists,and professional human rights activists to normative regulation of obstetric care, medical authorities,and the practices of the Russian maternity hospital. During my ethnographic research, I have collected personal stories about the clashes of women in labor and their assistants (primarily doulas) with the medical system, stories of collective and individual appeals to authorities, and protest flash mobs. The article presents the history of the transformation of the Russian system of obstetrics and the development of grassroots movements by midwives and doulas. It outlines the features of human rights and perinatal protest discourses and identifies the tactics of legal and vernacular resistance and non-resistance to medical authorities encountered during fieldwork.

Research target: Sociology (including Demography and Anthropology Health Studies Philology and Linguistics Law
Priority areas: sociology humanitarian
Language: English
DOI
Text on another site
Keywords: информированное согласиедоулаinformed consentpatient rightsиндивидуальная акушеркаdoulaправа пациентаindividual midwifevernacular resistancelegal resistanceвернакулярное сопротивлениелегальное сопротивлениеnon-resistanceнепротивление
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