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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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Extended Modeling of Banks’ Credit Ratings

Procedia Computer Science. 2016. Vol. 91. P. 201–210.
Karminsky A. M., Khromova E.

The aim of this paper is to construct a reliable model based on public information for 
the practical usage of interested agents, regulators and banks themselves. During the work, 
a table of representative variables that have potential influence on ratings was constructed. 
The research is based on the Bankscope database that contains financial information about 
international banks for the period from 1996 to 2011. A Matlab code was created in order to 
fill in the gaps in a database. As a result, an ordered probit model provides the following …

Research target: Economics and Management
Language: English
DOI
Keywords: credit ratingcomputer modelingcommercial banks
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