News

The new unit will be responsible for the development of sports and physical education at the university

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.

Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.

A terahertz neuromorphic circuit developed by scientists at HSE University could make 6G communication systems both more accurate and energy-efficient. The circuit enables indoor tracking of mobile devices with an accuracy of up to 99%. The results were presented at PIERS 2026, an international symposium on Photonics and Electromagnetism held in China.

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.’

The classical model of geographical education that emerged in the 20th century, primarily to study, assess, and develop territories and natural resources, is no longer suited to the complexity of modern spatial systems. Geographers need to learn how to work with big data and GeoAI, model nonlinear changes, and make decisions under conditions of uncertainty, while also bringing together knowledge of natural and socio-economic processes.Nikolay Kurichev, Dean of the HSE Faculty of Geography and Geoinformation Technology, said this on August 18 at the international scientific session ‘BRICS Geographers Day.’