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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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К построению многоаспектной модели процесса цифрового обновления общеобразовательной школы

M. : Общество с ограниченной ответственностью "Образование и Информатика", 2023.
Водопьян Г. М., Dvoretskaya I., Uvarov A.
Under the general editorship: Dvoretskaya I.

Digital renewal of education (introduction of digital technologies) is discussed as a process of increasing changes in schools (educational environment, learning process, management of educational organization and system) that started half a century ago and is unfolding in an evolving digital environment. Depending on local and regional conditions, educational organizations move along the path of digital renewal at different rates and are at different stages of its development.

Russian and foreign studies offering models of this process are considered and a data base of the most significant works of the last three decades is formed. The approach to the construction of an integrated (multidimensional) model that co- vers all stages of digital school renewal is proposed. The model is based on the assumption that the ultimate goal of the digital renewal of a public school is the transition to a personalized and effective organization of the educational process.

Indicators for schools’ progress on the path of digital renewal (mastering digi- tal technologies in education at the national and regional levels) are proposed. The results of analyzing the aspects of digital renewal of Russian schools and direc- tions for further detailed studies are discussed.

The monograph is addressed to specialists and employees of education ma- nagement, teachers of higher education, specialists of the system of teachers’ pro- fessional development and training, as well as researchers interested in the study of general education renewal in the developing digital environment.

Keywords: informatization of education, digital renewal of education, digital transformation, monitoring of digital transformation of educational organizations, models of digital renewal of education.

Research target: Education
Language: Russian
Full text
Keywords: информатизация образованияdigital transformation
К построению многоаспектной модели процесса цифрового обновления общеобразовательной школы
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