Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.

The HSE Graduate School of Business has launched a new Master’s Programme in Business Analytics and Digital Solutions in Finance, created jointly with Sberbank, Alfa-Bank, VTB, and the Moscow Stock Exchange with the expert support of the Bank of Russia. The programme aims to train specialists capable of not only analysing data, but also using it to develop digital products and making business decisions in the financial sector.

A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

The AI and Digital Science Institute at the HSE Faculty of Computer Science invites researchers, developers and everyone shaping the future of technology to the fifth, anniversary edition of the Fall into Machine Learning conference (Fall into ML 2026). The event will take place on October 23–24, 2026, at the HSE Cultural Centre in Moscow and will become the key meeting point for Russia’s AI community.

Moving to another country is a big step, and studying there is even more so. In 2026, HSE University–St Petersburg welcomed more than 250 international students. At Orientation Day, they learned more about the educational process and Russian culture and shared why they chose HSE University.

How did 19th-century archival maps transform into three-dimensional forest models? In July 2026, second-year students of the Geoinformation Technology and Spatial Modelling track at the HSE Faculty of Geography and Geoinformation Technologies conducted comprehensive mapping research at the Sochut Dendropark near the town of Stepanavan in Armenia. Founded in 1933 by biologist Edmond Leonovich, the arboretum is the first scientific and experimental forest ‘laboratory’ in the Transcaucasus. Here, centuries-old deciduous forests coexist with exotic coniferous plantings: Canadian hemlock, Himalayan cedar, and giant sequoias.

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.

The HSE Scientometrics Centre analysed more than 104,000 papers published between 2020 and 2025 and presented at ten top-level A* conferences ranked by ICORE 2026. The researchers examined the contributions of Brazil, Russia, India, China and South Africa. Together, these countries accounted for around 40,800 publications, or 39.2% of the total. However, the distribution is highly uneven, and a shared BRICS research space has yet to emerge.