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News
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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Dispute Resolution with OWL DL and Reasoning

CEUR Workshop Proceedings. 2023. No. 3515.
Baimuratov I., Lisanyuk E., Prokudin D.

Dispute resolution is an essential part of argumentation. Although there have been particular advances in computational argumentation with machine learning, we assume that explicit and deterministic techniques for dispute resolution still have significant potential. There are semantic approaches to argument representation, such as the Argument Interchange Format that supports a certain level of interoperability, but according to our knowledge, dispute resolution techniques based on semantics are not yet studied. In this research, we consider single mixed disputes through abstract argumentation frameworks and propose a method for representing such disputes in OWL DL that allows resolving them with reasoning. Additionally, we develop an algorithm for generating the OWL DL representation having argument sets and attack relations as input. The algorithm is validated with a proof of concept implementation, and the OWL DL representation – with an example of correct dispute resolution performed by reasoning over the generated ontology

Research target: Philosophy, Ethics, and Religious Studies Computer Science
Language: English
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Keywords: reasoningdispute resolutionabstract argumentation frameworkscomputational argumentationOWL DL
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