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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 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.

In June 2025, the finals of the International Cybersecurity Olympiad (ICO) took place in Singapore. The Russian national team competed alongside 128 talented school students from Australia, Canada, Denmark, Hong Kong, Israel, Italy, Japan, Laos, Macau, Malaysia, Mexico, Singapore, Sri Lanka, Sweden, and others. The Russian team secured silver and took second place in the overall team ranking. This result was made possible thanks to the individual achievements of the team members, including Mikhail Selin, an 11th-grade student at the HSE Lyceum, who won a bronze medal.

On July 19 and 20, 2025, Russia’s largest youth festival, VK Fest, took place at the Luzhniki stadium. HSE University presented its advanced developments, including a prototype for the CubeSX-HSE satellite and hi-tech games powered by AI. Everyone could participate in the ‘Human or AI’ quiz or attend workshops on spacecraft assembly and game design basics.

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.