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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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?

Mathematical Model for Assessing the Reliability of Water Supply Networks

Springer Nature Switzerland . 2022. Vol. 402. No. 1. P. 343–351.
Runev E. V.

The book presents latest developments in the field of high-speed railway, Hyperloop transportation technologies and Maglev system. In recent years, railway transport has received a powerful impetus in its development. With the advent of the 4th Industrial revolution, the transport sector is moving towards full digitalization. TransSiberia is a platform where both the rail industry and the communications industry can meet and converge. The book contains papers prepared by experts from both sectors. This is primarily research in the field of the ICT technologies, which will be used for the future railway system.

The results of studies on the design of intelligent autonomous transport systems and the operation of high-speed railways in the harsh weather conditions of Siberia are presented in detail.

The book presents the state of the art in smart grid technology for railway power systems. This will contribute to decarbonization of the railway. The presented technical innovations in railway science and engineering will help scientists and engineers create a new generation of trains running on alternative fuels and capable of functioning without interruptions in any climatic conditions.

Research target: Engineering and Technology
Language: English
DOI
Text on another site
Keywords: Markov chainsMatrix of intensitiesMathematical model of reliabilityGraph of water supply network statesKolmogorov equationsProbability of no-failure operationWater supply networks
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