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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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Russian Scholarly Journals in Science Communication

Higher Education in Russia and Beyond. 2017. Vol. 1. No. 11. P. 7–9.
Dyachenko E., Fursov K.
The paper summarises results of a pilot study aimed at assessment of the representation of Russian science in the media in order to understand to what extent contemporary Russian academic journals are included into popular science communication. The analysis showed that most of the media publications reporting on the achievements of Russian scientists did not cite academic publications. Low visibility of Russian scholarly journals in popular media calls into question the importance of their role in science communication. The probable reason for that in the Russian academia, “the weight” of a statement depends more on the social status of a scientist or other public figure than on the system of scientific communication through professional journals.  

 

 

Research target: Sociology (including Demography and Anthropology Mathematics
Priority areas: sociology
Language: English
Keywords: Russiaacademic journalsscience communicationmedia visibility
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