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Tag «HSE as a Technological University»

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Illustration for news: HSE University Students and Postgraduates Take Part in Peking University International Summer School

HSE University Students and Postgraduates Take Part in Peking University International Summer School

In July 2025, Peking University hosted its annual Quantum Molecular Dynamics Summer School, which has moved onto an international stage. Its first foreign guests were students and postgraduates from the HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM). They took part in an extensive academic programme and had the opportunity to visit a laboratory that works with optoelectronic materials and energy devices.

Illustration for news: HSE University Becomes Absolute Leader in AI Alliance Ranking of Universities

HSE University Becomes Absolute Leader in AI Alliance Ranking of Universities

TheAI Alliance Russia has announced a new ranking of Russian universities based on the quality of education in the field of AI. A total of 203 universities from 68 Russian regions participated in the ranking. HSE University was the first to join the highest A++ group.

Illustration for news: 'Today, Human Existence Without Mathematics Is Difficult; Tomorrow, It Will Be Simply Impossible'

'Today, Human Existence Without Mathematics Is Difficult; Tomorrow, It Will Be Simply Impossible'

Mathematicians around the world share a common language and continue to collaborate despite the challenges of recent years. The hub of mathematical networking has been shifting to China, where scientists from various countries meet at conferences and other academic events. Partnerships with leading Chinese universities offer promising opportunities to strengthen existing ties and forge new ones. In this interview with the HSE News Service, Valery Gritsenko, Head of the HSE International Laboratory for Mirror Symmetry and Automorphic Forms, discusses this and other topics, including what AI is and why the state should engage with mathematicians.

Illustration for news: HSE University and MTS Join Forces to Combat Deepfakes and Train AI to Create Bespoke Video Content

HSE University and MTS Join Forces to Combat Deepfakes and Train AI to Create Bespoke Video Content

HSE University and MTS Web Services (MWS) have announced the launch of a series of joint research initiatives in the field of artificial intelligence technologies. These efforts aim to develop innovative solutions in cybersecurity, multimodal content generation, and big data analysis. The project’s leading institution is the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM), under the overall coordination of the HSE AI Research Centre.

Illustration for news: Strategic Technological Projects Launched at HSE University

Strategic Technological Projects Launched at HSE University

HSE University has launched a few strategic technological projects aimed at achieving the institution’s target development model. These projects focus on creating a portfolio of innovative products and services that fall under three key areas: socio-economic, science, and technology foresight, as well as 6G communication technologies and artificial intelligence.

Illustration for news: HSE University Strengthens Ties with Peking University

HSE University Strengthens Ties with Peking 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.

Illustration for news: HSE University Brings Together Researchers at International AI Summer Institute in Shanghai

HSE University Brings Together Researchers at International AI Summer Institute in Shanghai

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.

Illustration for news: 'We Are Now Nearing Practical Application of a Stimulus-Free Brain-Mapping System'

'We Are Now Nearing Practical Application of a Stimulus-Free Brain-Mapping System'

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.

Illustration for news: HSE University Presents Smart Orthosis at Hope for Technology Forum

HSE University Presents Smart Orthosis at Hope for Technology Forum

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.

Illustration for news: HSE Researchers Teach Neural Network to Distinguish Origins from Genetically Similar Populations

HSE Researchers Teach Neural Network to Distinguish Origins from Genetically Similar Populations

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.