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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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Оценка взаимного влияния белок-мембрана для рецепторных тирозинкиназ в компьютерном эксперименте

С. 53–54.
Kuznetsov A., Efremov R.

Receptor tyrosine kinases form an important class of membrane proteins that regulate cell life cycle and metabolism. Among wide variety of receptors, they have simple structure with single alpha-helix crossing the membrane. This transmembrane domain is functionalm as dimeric state conformation defines active/inactive state of the receptor. The lipid environment can modulate functioning of such proteins, but the exact details are not well described yet. In addition to specific interactions with certain types of lipids, cholesterol and gangliosides, there are non-specific ones, since physico-chemical parameters are dependent on local lipid composition around protein molecule. However, there are opposite hypotheses about what is the driving force of heterogeneities formation in the membrane: lipid molecules themselves or membrane proteins embedded in the bilayer. To answer the question on mutual influence of proteins and their lipid environment, we used atomistic computer modeling: molecular dynamics simulations followed by a detailed analysis of intermolecular contacts to identify key amino acid residues that determine protein-lipid interactions. It was shown that the number of protein-lipid contacts depends on the conformation of the dimeric state, and their distribution over the monolayers is asymmetric. The results of the work will help in understanding the mechanism of signal transduction by receptor tyrosine kinases and finding ways to influence their activity.

Language: Russian
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Keywords: atomistic modelingатомистическое моделированиеreceptor tyrosine kinaseрецепторные тирозинкиназы
Publication based on the results of:
Supercomputer technologies of atomic modeling in the material science and physics of biomembranes (2019)

In book

Математика. Компьютер. Образование. Тезисы.
Вып. 27: Двадцать седьмая международная конференция "Математика. Компьютер. Образование." Симпозиум с международным участием "Биофизика сложных систем, вычислительная и системная биология, молекулярное моделирование". , Ижевск: Ижевский институт компьютерных исследований, 2020.
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