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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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Изучение компьютерно-опосредованной коммуникации в лингвистическом аспекте

Вопросы языкознания. 2023. № 2. С. 144–156.
Khazova A.

The article contains an overview of the work of Russian and foreign authors concerning the phenomenon of computer-mediated communication in linguistic perspective. We describe the features of the digital communication channel that can influence different levels of language, with special attention to the studies focusing on vocabulary, morphology, syntax, and punctuation of texts generated during Internet communication. We consider specific quantitative studies of these levels of language and note the special lability of the lexical level. We also demonstrate the mixed nature of borrowing morphological, syntactic, and punctuation features from spoken and written language and highlight the role of the mechanism of the economy of linguistic means at each level. The paper gives a detailed description of the corpus studies by I. Karpov and A. Bodomo, and also draws on the material from the Russian National Corpus. In addition, the works dealing with the issues of speech patterns of communication and code-switching are described. Further, we address the problem of inheritance of features of spoken and written language by computer-mediated communication: we show how many elements are borrowed and transformed at different levels and explain which extralinguistic factors can influence those changes. Special attention is paid to such constructions as well-wishes and appeals, as well as their functioning in various Internet spaces (e‑mail, messengers, social media, forums). The final part of the article summarizes the results, concludes about the intermediate position of computer-mediated communication between oral and written communication, and discusses the prospects for studying Internet communication using quantitative methods.

Research target: Philology and Linguistics
Language: Russian
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Keywords: интернет-коммуникациякомпьютерно-опосредованная коммуникацияInternet communicationэлектронная коммуникацияcomputer-mediated communicationelectronic communication
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