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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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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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Cyclic partitions in nano-electronics. Nano-cluster circular systems

P. 1–6.
Rau V., Nikitin O., Kirill A. Gorshkov, Saleh H., Rau T.

The importance of circular systems within radio-schemes increases in the process of transition from marco-to mirco- and then to nano-levels. It is worth mentioning, that on the macro-level any electric chain (since the time of Kirchhoff) as well as the simple radio circuit is usually replaced for necessary calculations by the model system of the interfaced closed chains, cycles (circles) and is being afterwards calculated, investigated or being really assembled, each cycle separately. Theoretically each fixed “coloured” point of a circle can define the function of any circle's element (the resistor, the condenser, the source, the rectifier, the transistor, etc.) or it can correspond to the material (conductor, insulator and so forth). The analysis and the computer modelling of the circles and their nano-structural elements are the purpose of this work.

Language: English
DOI
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Keywords: nanoclusters

In book

2018 Moscow Workshop on Electronic and Networking Technologies (MWENT). Proceedings
2018 Moscow Workshop on Electronic and Networking Technologies (MWENT). Proceedings
M.: IEEE, 2018.
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