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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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Science, Technology, and Innovation Policy in Response to the COVID-19 Crisis: The Case of Russia

Ch. 14. P. 279–300.
Gershman M., Gokhberg L., Kuznetsova T.

The coronavirus pandemic, and the global socio-economic crisis caused by it, have and are likely to continue to have a serious impact upon various sectors and spheres of activity, organisations and enterprises, labour and knowledge markets. Most countries are trying to achieve quick economic recovery, among other things by finding and applying new solutions to respond to the unusual challenge resulting from the pandemic. This requires fast coordinated policy responses in a broad range of policy fields. As in most countries in the world, such processes are underway in Russia. However, in this country, the need to respond to the COVID-19 shock coincided with the ongoing transformation of the STI policy model which has been taking place over recent years.

Language: English
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Keywords: RussiapandemicScienceScience, technology, and innovation policyCOVID-19

In book

COVID-19 and Society. Socio-Economic Perspectives on the Impact, Implications, and Challenges
Polat M., Saritas O., Burmaoglu S., Privorotskaya S., Vishnevskiy K., Gershman M., Gokhberg L., Shcherbakov R. Cham: Springer, 2022.
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