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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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Scientific Data Distribution Network Based on P2P Transmission Technologies

P. 123–129.
Parunakyan D., Isaev E., Ovchinnikov I. L., Dumsky D., Zaicev A. J., Barinova W.

This work studies the possibility of using a widely adopted peer-to-peer (P2P) data transmission protocol named BitTorrent for the purpose of building a data storage and distribution system that would allow numerous institutions to access vast unstructured volumes of scientic data. We discuss the practical efficiency of using this technology depending on the typical file sizes and readily available software, the ratio of read and write operations, computational power available at the tracker server, the number of mirrors and simultaneously connected clients.

Language: English
Full text
Keywords: data transfer protocolspeer-to-peer networksпротоколы передачи данныходноранговые сети

In book

Proceedings of the 21st Annual Conference of Doctoral Students - WDS 2012 (Prague, 29th May – 1st June, 2012)
Vol. 1. , Prague: MATFYZPRESS, 2012.
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