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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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Опыт измерения стилистической однородности методом Delta на материале Платоновского корпуса

Аристей. Aristeas: Вестник классической филологии и античной истории. 2022. Т. 25. С. 19–37.
Alieva O.

This paper considers the possibility of quantitative measurement of Plato’s style using Burrows’ Delta. The author concludes that the result is not very informative if a limited number of author’s profiles, each corresponding to the known or assumed fluctuations in the author’s style, is used for machine classification. Instead, minimal Delta distances calculated for the whole corpus can be used for making short-lists for each segment of a test text. Thus, with blocks of 3000 and 5000, Delta confirms the traditional assignment of Plato’s Philebus to the late group, listing among its closest neighbors the Laws, the Sophist and the Statesman. For smaller samples (1000 words), dialogues of the middle group make appearance in the short-lists for some blocks. Even if these results are more likely to be affected by random noise, they can be taken into consideration if there are additional reasons to suspect stylistic shifts in the given blocks.

Research target: Philology and Linguistics Philosophy, Ethics, and Religious Studies
Language: Russian
Full text
DOI
Keywords: машинное обучениеПлатонPlatomachine learningФилебstylometryстилометрияMost Frequent WordsBurrow's DeltaPhilebusчастотные словаДельта Берроуза
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