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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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Human–Drone Interaction: Virtues and Vices in Systemic Perspective

P. 217–229.
Burukina O. A., Inna Khavanova

The emergence and use of advanced technologies in today’s commerce has gradually grown into habitual practice, and the introduction of more modern weapons including UAVs to military operations is hardly a new challenge in the history of armed conflicts. The interim research results concerning attitudes to drone usage have highlighted a number of contradictions in national and international law and policies and revealed a certain inconsistency in the respondents’ attitudes partially caused by the different width of Overton windows devoted to drone expansion in the two countries, as well as by the use of the socio-cognitive tools currently changing the national attitudes and value systems as part of the national mentalities. The research has highlighted a number of contradictions that proved to be more profession-specific, age and gender-specific.

Language: English
Full text
DOI
Keywords: Commercial use

In book

Advances in Human Factors in Robots and Unmanned Systems. Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems, July 24-28, 2019, Washington D.C., USA
Advances in Human Factors in Robots and Unmanned Systems. Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems, July 24-28, 2019, Washington D.C., USA
Olga Burukina, Inna Khavanova Issue 962: Advances in Human Factors in Robots and Unmanned Systems. , Springer, 2020.
Similar publications
Advances in Human Factors in Robots and Unmanned Systems. Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems, July 24-28, 2019, Washington D.C., USA
Olga Burukina, Inna Khavanova, Springer, 2020.
The emergence and use of advanced technologies in today’s commerce has gradually grown into habitual practice, and the introduction of more modern weapons including UAVs to military operations is hardly a new challenge in the history of armed conflicts. The interim research results concerning attitudes to drone usage have highlighted a number of contradictions in ...
Added: November 23, 2020
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