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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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The Four Motives of Educational Innovators

NRU Higher School of Economics , 2019. No. 52.
Khavenson Tatiana, Koroleva Diana, Lukina Anastasia
Education systems across the world are experiencing significant transformations. Grassroots innovators play an important role in these changes. To stimulate the development of grassroots innovations it is important to understand the mechanisms that underlie their creation. This paper investigates the motivation of individuals who initialize innovative projects in education. The approach to measuring motivation was adopted from the Panel Study of Entrepreneurial Dynamics (PSED) initially developed for social and commercial entrepreneurs. The Russian version of the methodology was elaborated and validated to study educational innovators. The sample consists of 437 participants of the Competition for Innovation in Education (KIVO). Four types of motivation are identified: social, self-realization, status, financial. They are explained within the self-determination theory (SDT) and grassroots innovations. The social and self-realization motives are inherent in all the actors, while the other two vary among innovators. This motivational structure allows the authors to differentiate between specific types of innovators – social entrepreneurs and ‘non-entrepreneurs’. The discussion, following the conclusion in this article, focuses on which environment would be favorable for developing innovations, considering the personal motives for innovative activity. The results can be valuable for education policy.
Research target: Education
Priority areas: sociology
Language: English
Full text
Keywords: инновациимотивацияинновации в образованииeducation systeminnovationsmotivationобразовательная системаEducational Changeнизовые инновацииinnovation in educationgrassroots innovationPSED
Publication based on the results of:
Educational innovations: functioning within and without educational system (2018)
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