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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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Электронное образование в эпоху цифровой трансформации

Издательский Дом Томского государственного университета, 2019.
Mozhaeva G., Краснова Г. А.

The book is devoted to the development of e-learning in Russia and the world. The analysis of the main trends and factors affecting the effectiveness of e-learning in the world, including management decisions and the legislative framework governing its functioning.

The main factors affecting the development of e-learning in Russia are identified, the regulatory framework of e-learning, as well as national, institutional and sectoral initiatives are presented. The development of e-learning is considered in the context of solving quality problems in higher education.

For specialists in education.

Language: Russian
Keywords: качество образованиявиртуальный университетe-learningquality of educationнеформальное образованиеnon-formal educationvirtual UniversityMOOCМООКOnline courseэлектронное образованиеОнлайн-курс
Электронное образование в эпоху цифровой трансформации
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