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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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New Technology Trends Watch: An Approach and Case Study

Lecture Notes in Computer Science. 2014. No. 8722. P. 170–177.
Irina V. Efimenko, Khoroshevsky V. F.

A hybrid approach to automated identification and monitoring of technology trends is presented. The hybrid approach combines methods of ontology based information extraction and statistical methods for processing OBIE results. The key point of the approach is the so called ‘black box’ principle. It is related to identification of trends on the basis of heuristics stemming from an elaborate ontology of a technology trend.

Research target: Mathematics Sociology (including Demography and Anthropology
Priority areas: IT and mathematics
Language: English
Full text
Text on another site
Keywords: временные рядыонтологиялингвистический анализknowledge discoveryгибридный подходtime seriesstatistical methodsизвлечение знанийстатистический методNew technology trend monitoringlinguistic methodshybrid approachontology-based information extractionGartner Hype Cycleмониторинг технологических трендовкривая Гартнера
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