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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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Complexes of Negatively Charged Liposomes with Chitosan: Effect of Phase State of the Lipid Bilayer

Russian Journal of General Chemistry. 2021. Vol. 91. No. 10. P. 2079–2085.
A. A. Efimova, Abramova T. A., Popov A. S.

Interaction of the cationic polymer chitosan with anionic liposomes has been studied. The characteristics of the polycation-liposome complex have been determined by the phase state of the lipid membrane. Chitosan adsorbed on the surface of liquid liposomes has induced transmembrane migration of anionic lipid from the inner to the outer leaflet. Liquid liposomes have retained their integrity in the complex with chitosan. The adsorbed polymer can be completely removed from the membrane by the addition of a low-molecular electrolyte. The chitosan adsorption on the surface of solid liposomes has led to the formation of defects in the membrane: in this case the polycation adsorption has been irreversible. The established phenomena may be important for the understanding of biological effects of chitosan.

Research target: Chemistry Nanotechnologies Medical Technologies
Language: English
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Keywords: complexliposomeslipid bilayerChitosanpolycationphase state
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