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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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Digital Turn in Schools—Research, Policy, Practice: Proceedings of ICEM 2018 Conference

Singapore : Springer, 2019.
Under the general editorship: M. Laanpere, T. Väljataga

This volume is a compilation of selected papers that were presented at the annual conference of the International Council of Educational Media (ICEM) in Tallinn, Estonia, on September 5 - 7, 2018. The book reports on recent interdisciplinary research and innovative practices regarding school-wide implementation of digital innovation and connects it with recent developments in the field of educational media. The key concept is “Digital Turn,” which is understood as a socio-technical transition towards next-generation digital learning ecosystems in education. Although Digital Turn can also be implemented at the classroom or national levels, most of the contributions in this volume take a whole-school perspective on the policies and practices regarding digital innovation, educational media, e-assessment, digital competences of teachers and students as well as learning design and learning analytics.

Chapters
Computational Pedagogy: Thinking, Participation, Reflection
Patarakin Y., Burov V., Yarmakhov B., , in: Digital Turn in Schools—Research, Policy, Practice: Proceedings of ICEM 2018 Conference.: Singapore: Springer, 2019. P. 123–137.
The article introducing the notion of computational pedagogy and pedagogical design underpinning its development as sociotechnical engineering of activity means and scenarios, aimed at building students' skills of computational thinking, computational participation and computational reflection.  The interrelated development of computational thinking, computational participation and computational reflection is demonstrated in the case study of network collaboration ...
Added: November 17, 2020
Research target: Education
Priority areas: humanitarian IT and mathematics
Language: English
DOI
Text on another site
Keywords: Computers and Education
Digital Turn in Schools—Research, Policy, Practice: Proceedings of ICEM 2018 Conference
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