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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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Флагманский проект ЕАЭС: союзная промкорпорация в сфере редкоземельных металлов

Республиканский журнал «Горно-металлургическая промышленность». Издательство: ОЮЛ «Республиканская ассоциация горнодобывающих и горно-металлургических предприятий». Республика Казахстан.. 2019. № 3 (128). С. 22–27.
Kofner J. C.

The governments of the member states of the Eurasian Economic Union should set an ambitious goal of creating a powerful, innovative and competitive union-wide complex of the rare earth industry. Its implementation is ideally suited as one of the "flagship" projects of the EAEU, which are now actively discussing and looked for in the Eurasian Economic Commission (EEC) and in the scientific expert community of the Union countries. Moreover, there are a lot of strong arguments in favor of the success of the development of the union-wide complex of the rare earth industry.

Research target: Economics and Management Materials Technologies Effective Natural Resource Management
Priority areas: economics
Language: Russian
Text on another site
Keywords: industrial policymetallurgymining of raw materialsГорнодобывающая и металлургическая промышленностьЕвразийский экономический союз (ЕАЭС)Eurasian Economic Union (EAEU)РЗМrare earthпромышленная политика в ЕАЭСREEредкоземельные металлы
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