Research & Expertise

CIPR 2026, Russia’s largest conference on the digital transformation of key industrial sectors, has opened in Nizhny Novgorod. The event brings together Prime Minister Mikhail Mishustin, members of the government, governors, company executives, and researchers. This year, HSE University has become an official partner of the conference. Vice Rector Elena Odoevskaia and other university representatives will take part in expert sessions and sign a number of agreements, while the university’s exhibition stand will showcase a range of digital developments.

HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.

HSE University and the Tatarstan Academy of Sciences (TAS) have agreed on cooperation. The agreement formalised a strategic partnership between the two leading scientific and educational institutions in the field of demographic and sociological research. The document was signed in Kazan on May 13, 2026 by Lilia Ovcharova, HSE Vice Rector and Director of the Institute for Social Policy, and Rifkat Minnikhanov, President of TAS, at the venue of the 17th International Economic Forum ‘Russia—Islamic World: KazanForum.’

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science, along with students from the AI360: Artificial Intelligence Engineering track of the Applied Mathematics and Information Science bachelor’s programme, took part in ICLR, one of the world’s most prestigious international conferences on machine learning and representation learning. This year’s event was held in Rio de Janeiro, Brazil.

Fedor Shirshikov, a student of the Master's in Corporate Research, Development and Innovation Management at HSE University, has proposed an innovative technology for identifying oil and gas fields by detecting indicator microbes using PCR tests. The new method could help reduce the number of costly dry drilling operations. With this project, the student made it to the finals of the GreenTech Sustainable Development technology accelerator organised by the Skolkovo Foundation. In this interview, he explains why a biologist decided to study innovation management and how the oil industry inspired his startup idea.

HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.

An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

Can a Formula 1 race become a testing ground for digital forecasting, and how can climate intelligence help companies adapt to shocks? The second session of International Symposium “Foresight in a Rapidly Changing World” within XXVI April International Academic Conference named after Evgeny Yasin focused on finding answers to these questions. The discussion, which brought together experts from Russia, Canada, France, and Brazil, was moderated by Yulia Milshina, Deputy Director of the ISSEK Foresight Center (HSE University).

Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.