Research & Expertise News at HSE University

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.

The Eastern Economic Forum, currently taking place in Vladivostok, is addressing a wide range of issues, from the development of the Russian Far East and the Arctic to artificial intelligence. HSE University researchers took part in discussions, including those focused on attracting international professionals to Russia. Bilateral cooperation agreements were also signed.

Researchers at the HSE Centre for Language and Brain have presented RusLan-M, an open multimedia corpus that makes it possible to trace the development of early child speech in Russian from first words to the emergence of complex grammatical constructions. The database contains around 41 hours of video recordings and more than 35,000 child utterances. The new resource will help researchers study more precisely how children acquire Russian and, in the longer term, develop more reliable tools for assessing speech development. The study has been published in Language Resources and Evaluation.

The winners of the Young Mathematicians of Russia Award were announced at the 6th Conference of Russia’s Mathematical Centres, held in Kazan in late August 2026. Four of the nine award recipients are graduates of the HSE Faculty of Mathematics: Associate Professor Alexander Kalmynin, PhD students Alexander Zaitsev and Petr Kucheryavyy, and researcher Dmitry Pirozhkov.

An economist at HSE University has analysed possible trading strategies on the stock market and shown that investors can achieve higher returns if they determine the size of their trades based on the degree of intraday fluctuations in asset prices. When the key interest rate is high, the advantage of this strategy over a conventional one increases 4.7-fold. The study has been published in the journal Enterprise Development and Microfinance.

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.

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).

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.’