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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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The impact of the COVID-19 pandemic on EU trade policy

Ch. 6. P. 48–58.
Davronova Sabina Bobirovna

The paper aims to identify the impact of the COVID-19 pandemic on the EU CCP, to grasp the logic behind certain EU trade policy decisions made during the pandemic, to explain continuity and change in EU trade discourse, and to trace its prospective path of post-pandemic development. This impact is exemplified on a particular case of exports authorization mechanism for coronavirus vaccines, which was in place in the first quarter of 2021. The methodological design of the paper involves qualitative case study with rigorous process-tracing analysis, comparative legal analysis, and using conceptual tools of Hall’s framework of three levels of changes. Empirical findings show that delays in AstraZeneca vaccine deliveries came as a shock for the European Commission, whose slowness and shortsightedness account for a failure in securing vaccine deliveries. The European Commission tried to rehabilitate its reputation with a specific trade policy response — export authorization and transparency mechanism. However, its usage was quite limited due to its unpopularity. This case is also indicative in terms of the current transformation EU trade policy is undergoing. The necessity to achieve open strategic autonomy is becoming more vital. Nonetheless, radical reformation of the policy domain is barely possible in the short term due to impracticality of this measure.

Language: English
Full text
Keywords: EU trade policyexports authorization and transparency mechanismAstraZenecathe European CommissionOpen Strategic Autonomy

In book

The East-West Journey of Young Scientists
The East-West Journey of Young Scientists
M.: Advanced Solutions, 2022.
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