Tag «HSE as a Technological University»

On July 21, 2025, representatives from Peking University led by Zhang Jin, Vice President of Peking University and Chancellor of Shenzhen Graduate School, paid a visit to HSE University. The delegation included forty students, teachers, and administrators. During their visit, leaders from both universities discussed potential areas for future collaboration, and representatives from three HSE University departments held meetings with Chinese students.

In early July 2025, the International Summer Institute on Artificial Intelligence in Education took place in Shanghai. It was organised by the HSE Institute of Education in cooperation with East China Normal University (ECNU). More than 50 early-career researchers and keynote speakers from nine countries—ranging from Russia and China to Canada and Singapore—gathered to share the latest findings from their work and to forge new international partnerships.

Neural interfaces developed by scientists at HSE University in collaboration with clinicians make it possible to communicate with the brain and decode its signals. The use of such interfaces opens up opportunities to stimulate brain activity, restore and normalise muscle control in patients who have suffered a stroke, heart attack, or other neurological disorders, and support the rehabilitation of individuals with traumatic brain injuries or limb loss. Alexey Ossadtchi, Director of the Centre for Bioelectric Interfaces at the HSE Institute for Cognitive Neuroscience, discusses the centre and its work.

On July 10–11, 2025, Moscow hosted the 10th Hope for Technology National Forum of the Rehabilitation Industry and Universal Design. The event was aimed at discussing innovative achievements in the rehabilitation industry. The MIEM Student Design Bureau and the HSE Institute for Cognitive Neuroscience presented a smart orthosis, which was developed at the request of orthopedists.

Researchers from the AI and Digital Science Institute, HSE Faculty of Computer Science, have proposed a new approach based on advanced machine learning techniques to determine a person’s genetic origin with high accuracy. This method uses graph neural networks, which make it possible to distinguish even very closely related populations.

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.

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.

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).