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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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Рецепция имперского/царского пространства власти в России 1990-х – 2010-х гг.

Ab Imperio. 2016. № 2. С. 261–308.
Boltunova E.

The article by Ekaterina Boltunova discusses a situation that is rarely addressed in studies of the politics of historical memory. Rather than focusing on the process of the “invention of tradition” (Eric Hobsbawm and Terence Ranger) and the designation of “sites of memory” (Pierre Nora) in post-Soviet Russia, Boltunova shows what happens afterward, when politicians and the general public begin inhabiting the newly created spaces of important historical symbolism and fall under the influence of their recently created narratives. More specifically, the article focuses on ceremonial spaces related to tsars and emperors in Moscow and St. Petersburg: the Faceted Chamber of the Moscow Kremlin, St. Andrew Hall in the Grand Kremlin Palace (Moscow), St. Peter and St. George Halls in the Winter Palace (the Hermitage in St. Petersburg). Russian presidents Boris Yeltsin, Vladimir Putin, and Dmitry Medvedev felt it necessary to fashion their own ceremonial quarters in former imperial palaces by using and adapting the symbolism of spatial representation of past authority – even though those historical precedents themselves were the products of very recent architectural restorations. Once reconstructed, Russia’s historical memory of political grandeur has appealed in different ways to the main centers of power. While the government (president) feels more comfortable with symbolism of the imperial period, the Russian Orthodox Church (the Moscow Patriarchate) has claimed representations of the pre-Petrine Moscow tsardom. Thus, the “invented traditions” acquire agency of their own.

Priority areas: humanitarian
Language: Russian
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DOI
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Keywords: Владимир ПутинVladimir PutinПетр Iпространство властиНиколай IIPeter IБорис Ельцинистория памятиБольшой Кремлевский дворецтронный залГрановитая палатаГеоргиевский залhistory of memoryБелый домPostsoviet cultureNicolas IIПостсоветский дискурсBoris Yeltsinspace of powerGrand Kremlin palaceSt. George HallFaceted Chamber
Publication based on the results of:
Рецепция имперского пространства власти в СССР и постсоветской России (1910-е – 2010-е гг.) (2016)
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