Scientists Develop AI Tool for Designing Novel Materials
An international team of scientists, including researchers from HSE University, has developed a new generative model called the Wyckoff Transformer (WyFormer) for creating symmetrical crystal structures. The neural network will make it possible to design materials with specified properties for use in semiconductors, solar panels, medical devices, and other high-tech applications. The scientists will present their work at ICML, a leading international conference on machine learning, on July 15 in Vancouver. A preprint of the paper is available on arxiv.org, with the code and data released under an open-source license.
HSE Takes Part in BRICS Summit
On July 6–7, 2025, the 17th BRICS Summit took place in Rio de Janeiro. For the first time in the organisation’s history, representatives of civil society from BRICS countries participated. HSE Vice Rector, Head of the BRICS Expert Council–Russia, and Co-Chair of the Russian Chapter the BRICS Civil Forum Victoria Panova attended the meeting of the bloc’s national leaders.
HSE and Communication University of Zhejiang Strengthen Partnership in Creative Education
On July 7, 2025, HSE University hosted a delegation from China at the historic Durasov House. The delegation, led by Wei Guotan, Chair of the University Council of Communication University of Zhejiang (CUZ), was welcomed by HSE Vice Rector Dmitry Zemtsov, Deputy Dean of the Faculty of Creative Industries Tatiana Rivchun, and representatives of the HSE Institute for Creative Industries Development and the HSE Art and Design School—the initiators of the partnership with their Chinese colleagues.
Mathematicians from HSE University–Nizhny Novgorod Solve 57-Year-Old Problem
In 1968, American mathematician Paul Chernoff proposed a theorem that allows for the approximate calculation of operator semigroups, complex but useful mathematical constructions that describe how the states of multiparticle systems change over time. The method is based on a sequence of approximations—steps which make the result increasingly accurate. But until now it was unclear how quickly these steps lead to the result and what exactly influences this speed. This problem has been fully solved for the first time by mathematicians Oleg Galkin and Ivan Remizov from the Nizhny Novgorod campus of HSE University. Their work paves the way for more reliable calculations in various fields of science. The results were published in the Israel Journal of Mathematics (Q1).
Recommender Systems: New Algorithms and Current Practices
The AI and Digital Science Institute at the HSE Faculty of Computer Science hosted a conference focused on cutting-edge recommender system technologies. In an atmosphere of active knowledge sharing among leading industry experts, participants were introduced to the latest advancements and practical solutions in recommender model development.
‘The Development of Creative Industries Has Become a Priority for Both Russia and Uzbekistan’
The Tourism Development Institute under the Committee for Tourism of the Republic of Uzbekistan and HSE University have signed a cooperation agreement aimed at establishing and developing academic, cultural, and other partnerships in the fields of education and tourism. The initiative for signing the agreement came from the Institute for Creative Industries Development at the HSE Faculty of Creative Industries.
‘Artificial Intelligence Has Become the Lifeblood of the Global Economy’
Experts from HSE University took part in the BRICS Academic Forum (FABRICS) held in the capital of Brazil this year. The main theme of the event was to discuss cooperation among countries in the Global South amid geopolitical turbulence and rapid technological change. Academics and experts from BRICS member states and partner nations explored topics such as global healthcare, AI technologies, trade, climate change, and reform of the multilateral global security and governance architecture.
Large Language Models No Longer Require Powerful Servers
Scientists from Yandex, HSE University, MIT, KAUST, and ISTA have made a breakthrough in optimising LLMs. Yandex Research, in collaboration with leading science and technology universities, has developed a method for rapidly compressing large language models (LLMs) without compromising quality. Now, a smartphone or laptop is enough to work with LLMs—there's no need for expensive servers or high-powered GPUs.
AI to Enable Accurate Modelling of Data Storage System Performance
Researchers at the HSE Faculty of Computer Science have developed a new approach to modelling data storage systems based on generative machine learning models. This approach makes it possible to accurately predict the key performance characteristics of such systems under various conditions. Results have been published in the IEEE Access journal.
MIEM Begins Open Testing of Claw Engine 2.0
The team at MIEM’s Game Engineering and Interactive Systems studio has begun open testing of the second version of its game engine, Claw Engine. The HSE News Service takes a closer look at the product, which is being developed by MIEM’s student project teams.