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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.
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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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Asymmetric Equilibrium Structures of Superthin Current Sheets: The Asymmetry of Plasma Sources

Plasma Physics Reports. 2026. Vol. 52. No. 2. P. 179–185.
Tsareva O. O., Malova H. V., V. Yu. Popov, Zelenyi L. M.

The influence of asymmetry of plasma sources on the structure and spatial localization of a superthin
current sheet (STCS) supported by demagnetized electrons is studied using a self-consistent model. The
simulation takes into account the presence of a single plasma source in the northern hemisphere, which
makes the plasma flow asymmetric. It is demonstrated that the asymmetry of plasma sources results in a
minor reduction in the current carried by demagnetized electrons on the Speiser orbits. In the process, an
enhancement of the negative diamagnetic currents is observed at the source side. The STCS center shifts to
the side opposite the source position to preserve the balance of the total pressure. A comparison of STCS
characteristics formed by demagnetized and magnetized electron populations reveals that the sheet structure
is more sensitive to asymmetry in the case of magnetized electrons.

Research target: Computer Science Mathematics Physics
Language: English
Full text
DOI
Keywords: Current Sheetsasymmetric plasma sources Speiser orbitsunmagnetized electrons
Publication based on the results of:
Complex language and semantic models in artificial intelligence (2025)
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