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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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Lipid-II forms potential “landing terrain” for lantibiotics in simulated bacterial membrane

Scientific Reports. 2013. Vol. 3. No. 1678.
Chugunov A. O., Pyrkova D. V., Nolde D. E., Polyansky A. A., Pentkovsky V. M., Efremov R.

Bacterial cell wall is targeted by many antibiotics. Among them are lantibiotics, which realize their function via interaction with transmembrane lipid-II molecule — a chemically conserved part of the cell wall synthesis pathway. To investigate structural and dynamic properties of this molecule, we have performed a series of nearly microsecond-long molecular dynamics simulations (MD) of lipid-II and some of its analogs in zwitterionic single component and charged mixed model phospholipid bilayers (the reference and mimic of the bacterial plasmatic membrane, respectively). Extensive analysis revealed that lipid-II forms a unique “amphiphilic pattern” exclusively on the surface of the model bacterial membrane (and not in the reference bilayer). We hypothesize that conserved features of lipid-II along with characteristic modulation of the bacterial membrane provide a recognition spot for many lantibiotics. This putative recognition mechanism opens new opportunities for studies on lantibiotics action and design of novel armament against resistant bacterial strains.

Research target: Physics Earth Sciences Biology
Priority areas: IT and mathematics
Language: English
Text on another site
Keywords: компьютерные моделиComputational modelsComputational biophysicsBiomolecular conformationMembrane lipidsвычислительная биофизикаконформация биомолекулмембранные липиды
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