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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.’

The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.

Starting from September 1, HSE University–St Petersburg students can apply for academic mobility to universities worldwide. For the spring semester 2027, there are more than 50 universities available in 21 countries: from Brazil to Japan. Read on to learn everything about the contest rules.

Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

The Master's programme 'Data Analytics for Politics and Society' is launching a double-degree programme together with the Mexican Autonomous Popular University of the State of Puebla (UPAEP). The new track will enhance the partnership between HSE University and universities in the South American region.

A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.

Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.

HSE University and the Government of Perm Krai have signed a strategic partnership agreement. The document, signed by HSE University President Nikita Anisimov and Perm Krai Governor Dmitry Makhonin, defines new areas of collaboration in the creative economy, education, and human resources in Primakamye.