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News
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.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

 

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Innovation management system as a factor in increasing the efficiency and sustainability of banks

Procedia Computer Science. 2025. Vol. 266. P. 126–134.
Egorov A.

This article investigates the impact of innovative activity on the efficiency and financial stability of commercial banks, considering institutional factors and the role of intangible assets. An econometric analysis of panel data from 13 systemically important Russian banks between 2010 and 2022, employing a fixed effects model, reveals that an increase in investments in intangible assets (a proxy variable for innovative activity) leads to a growth in interest and commission income, confirming the positive influence of innovation on bank profitability. The developed scenario analysis demonstrates that the systemic implementation of innovations ensures growth in equity capital, albeit accompanied by increased risks due to a larger proportion of borrowed funds. The findings suggest the necessity of developing a balanced innovation management system that accounts for risks and ensures the sustainable development of the banking sector.

Research target: Economics and Management
Language: English
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DOI
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Keywords: банковский секторinnovationинновацияbanking sector
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