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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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Цифровые коды интернет коммуникации (на примере английского, русского и китайского языков)

Гл. 4. С. 23–26.
Dubinina M.

One of the trends in the development of the lexical system of the language in Internet communication is the creation of digital codes. Numbers can be used in combination with letters, or as a pure numeric combination. The practice of using digital combinations by network users from different countries determines the relevance of this study. The novelty of the work lies in the comparison and analysis of digital codes in English, Russian and Chinese. The peculiarity of digital codes is that their decoding is largely determined by extralinguistic factors. The purpose of our study is to analyze how to create a digital code using the example of English, Russian and Chinese languages. The material of our study was digital codes selected by the continuous sampling method, as well as works by Russian and foreign researchers. Moreover, comparison of trends in the development of the vocabulary of languages with a phonetic alphabet (English and Russian) and the Chinese language, which protects the hieroglyph as a vessel of figurative perception, within the framework of Internet communication is of interest for further research.

Language: Russian
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Keywords: русский языканглийский языкinternetкитайский языкRussianкодированиеChineseEnglishинтернетcodingdigital codeцифровой код

In book

Актуальные проблемы германо-романской филологии и методики преподавания иностранных языков
Некоммерческое партнерство "Национальное общество прикладной лингвистики", 2022.
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