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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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REINVENTING STRATEGIC APPROACH IN GOVERNANCE IN POSTCOVID-19 PERIOD (THE CASE OF SAINT-PETERSBURG IN RUSSIA)

Public Organization Review. 2024. Vol. 24. P. 471–486.
A.A. Kaisarov, V.P. Kaisarova

The COVID-19 pandemic has caused significant changes in urban life that will be noticeable for many years to come. The prevailing model of the big city in the modern world is based on the Sustainable Development Goals (SDGs). However, it is still unclear how the lessons of the pandemic will be reflected in the SDGs. Which of the goals will become a priority. The case of St. Petersburg presents the evolution of the strategic approach in management from 1997 to 2035. The content analysis of St. Petersburg’s strategies confirmed our assumption about the imbalance of plans to achieve the SDGs. The SDGs are present in the strategies explicitly and implicitly, which makes it difficult to achieve them.

Research target: Political Science, International Relations, and Public Administration Economics and Management
Language: English
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Keywords: content analysisstrategic planningCity’s strategiesSustainable urban development
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