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News
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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Proceedings of the 26th Conference of Open Innovations Association FRUCT

IEEE, 2020.

Proceedings of the 26th Conference of Open Innovations Association FRUCT, Helsinki, Finland.

Chapters
Russian Pragmatic Markers Database: Developing Speech Technologies for Everyday Spoken Discourse
Sherstinova T., Blinova O. V., Богданова-Бегларян Н. В. et al., , in: Proceedings of the 26th Conference of Open Innovations Association FRUCT.: IEEE, 2020. P. 60–66.
The paper presents recent results obtained within the ongoing project dedicated to the study of Russian pragmatic markers. Pragmatic markers are obligatory elements of natural speech in any language; moreover, they are considered to be functionally important for speech production and overcoming inevitable speech difficulties. A correct understanding of use and functions of pragmatic markers ...
Added: November 1, 2020
Delay Tolerant Network Potential in a Railway Network
Tikhonov E., Schneps-Schneppe D., Namiot D., , in: Proceedings of the 26th Conference of Open Innovations Association FRUCT.: IEEE, 2020. P. 438–448.
The article is devoted to the analysis of the effectiveness of the DTN (Delay Tolerant Network) system in a communication network on a railway line. Trains act as moving objects that are sending and receiving messages to/from an external network. As well trains may transmit telemetry, collected during movement. The article presents data on effectiveness ...
Added: April 9, 2022
Language: English
Text on another site
Keywords: computational linguisticstelecommunicationsIT
Proceedings of the 26th Conference of Open Innovations Association FRUCT
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