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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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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.
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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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The Cybersecurity in Development of IoT Embedded Technologies

P. 1–4.
Усмонов Б. Ш., Evsyutin O., Iskhakov A., Шелупанов А. А., Исхакова А. О., Мещеряков Р. В.

The article deals with the current problem of ensuring security when developing embedded technologies for the Internet of things. The authors analyze modern technological features of this concept; consider the main vulnerabilities of information security. An approach is proposed to protect the data transferred between the physical, logical and virtual components of the dedicated Internet infrastructure of things. Distinctive features of the proposed approach are the intellectual analysis of messages transmitted in IoT and the use of digital watermarks for data transfer between IoT-devices.

Language: English
DOI
Text on another site
Keywords: digital watermarks information securityfiltrationauthentication Internet of Thingsintellectual data analysis

In book

2017 International Conference on Information Science and Communications Technologies (ICISCT)
IEEE, 2017.
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