HSE University Strategic Development

Research & Expertise

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

Valery Gritsenko
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.

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.

‘Economic Growth Without the AI Factor Is No Longer Possible’

‘Economic Growth Without the AI Factor Is No Longer Possible’
The International Summer Institute on AI in Education has opened in Shanghai. The event is organised by the HSE Institute of Education in partnership with East China Normal University (ECNU). More than 50 participants and key speakers from over ten countries across Asia, Europe, North and South America have gathered to discuss the use of AI technologies in education and beyond.

Mathematicians from HSE Campus in Nizhny Novgorod Prove Existence of Robust Chaos in Complex Systems

Mathematicians from HSE Campus in Nizhny Novgorod Prove Existence of Robust Chaos in Complex Systems
Researchers from the International Laboratory of Dynamical Systems and Applications at the HSE Campus in Nizhny Novgorod have developed a theory that enables a mathematical proof of robust chaotic dynamics in networks of interacting elements. This research opens up new possibilities for exploring complex dynamical processes in neuroscience, biology, medicine, chemistry, optics, and other fields. The study findings have been accepted for publication in Physical Review Letters, a leading international journal. The findings are available on arXiv.org.

From Neural Networks to Stock Markets: Advancing Computer Science Research at HSE University in Nizhny Novgorod

From Neural Networks to Stock Markets: Advancing Computer Science Research at HSE University in Nizhny Novgorod
The International Laboratory of Algorithms and Technologies for Network Analysis (LATNA), established in 2011 at HSE University in Nizhny Novgorod, conducts a wide range of fundamental and applied research, including joint projects with large companies: Sberbank, Yandex, and other leaders of the IT industry. The methods developed by the university's researchers not only enrich science, but also make it possible to improve the work of transport companies and conduct medical and genetic research more successfully. HSE News Service discussed work of the laboratory with its head, Professor Valery Kalyagin.

Children with Autism Process Sounds Differently

Children with Autism Process Sounds Differently
For the first time, an international team of researchers—including scientists from the HSE Centre for Language and Brain—combined magnetoencephalography and morphometric analysis in a single experiment to study children with Autism Spectrum Disorder (ASD). The study found that children with autism have more difficulty filtering and processing sounds, particularly in the brain region typically responsible for language comprehension. The study has been published in Cerebral Cortex.

HSE University at SPIEF: Innovations, BRICS, and Healthcare

HSE University at SPIEF: Innovations, BRICS, and Healthcare
The St Petersburg International Economic Forum took place on June 18-21, 2025. HSE experts have discussed cooperation between universities, investors, and technology companies in the development of innovations, sharing the best practices in healthcare and drug safety, as well as charity and humanitarian collaboration in the BRICS countries. As a result, several cooperation agreements have been signed during the forum.

HSE Discusses Urban Development Prospects at the Vysokovsky Forum

HSE Discusses Urban Development Prospects at the Vysokovsky Forum
The annual Vysokovsky Forum, organised by the Faculty of Urban and Regional Development, was held at HSE University. Officials, business representatives, teachers, and experts gathered to discuss whether development projects should be adapted to residents' needs, whether New Moscow could become a new centre of attraction, and what benefits HSE will gain from launching a new academic department in partnership with A101 Group.

‘HSE University Considers Training in AI Technologies to Be a Basic Requirement’

‘HSE University Considers Training in AI Technologies to Be a Basic Requirement’
‘Technologies of the Future: A Common Global Space or Every Nation for Itself?’ was the title of a session held on June 19, 2025, with the support of Alfa-Bank at this year’s St Petersburg International Economic Forum (SPIEF-2025). The discussion featured HSE University Rector Nikita Anisimov and was moderated by journalist, TV presenter, and public figure Ksenia Sobchak.

Group and Shuffle: Researchers at HSE University and AIRI Accelerate Neural Network Fine-Tuning

Group and Shuffle: Researchers at HSE University and AIRI Accelerate Neural Network Fine-Tuning
Researchers at HSE University and the AIRI Institute have proposed a method for quickly fine-tuning neural networks. Their approach involves processing data in groups and then optimally shuffling these groups to improve their interactions. The method outperforms alternatives in image generation and analysis, as well as in fine-tuning text models, all while requiring less memory and training time. The results have been presented at the NeurIPS 2024 Conference.