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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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Фейк: от академических дискуссий к практическим решениям

Коммуникации. Медиа. Дизайн. 2021. Т. 6. № 2. С. 5–32.
Kachkayeva A., Shomova S., Dushakova I.

The concept of fake is one of the central, mainstream in research of media processes, media culture, media content and media literacy these days. Being a problem node in current theoretical discussions, the process of industrial norms development and restrictions at the intersection of interests of various actors and platforms, fake is still not a concept that has been fully understood and clarified, despite the efforts of entire research teams to study it. This work, created within the framework of academic partnership with Yandex.Zen, not only clarifies the thesaurus associated with the problem of media misinformation / disinformation / incorrect information in the XXI century or identifies approaches to the typology of this phenomenon, but it also emphasizes the role of computer algorithms in the ongoing struggle with fake news and suggests an overview of the academic and industrial projects in the research and identification of fakes.

Research target: Media and Communications
Priority areas: humanitarian
Language: Russian
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Keywords: новые медиаfakeфейкfake news new media
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