Marat Ismagulov, HR Director of Alfa-Bank, commented: “We are delighted to be part of the SMILES-2025 summer school in Harbin. This is a significant event in the advancement of cutting-edge technologies, particularly in artificial intelligence. Participating in the project allows Alfa-Bank not only to share its expertise but also to strengthen ties with leading scientific and educational institutions in Russia and around the world.”
Andrey Belevtsev, Senior Vice President and Head of Technology Development at Sberbank, emphasized the importance of collaboration between academic institutions and support for young scientists: “We are open to scientific and applied cooperation with researchers in the development of open generative AI technologies. The SMILES school is a great opportunity to launch new joint initiatives. This year, our experts not only prepared educational materials and delivered lectures on GenAI but also mentored students in practical projects. Additionally, the event served as an excellent networking platform — facilitating knowledge exchange and showcasing the expertise and advanced AI solutions of Sber’s teams to the tech community.”
Sergey Dutov, Corporate Innovation Director at the Skolkovo Foundation’s Expertise and Commercialization Center, highlighted the importance of collaboration between major businesses and young researchers’ initiatives: “We thank the organizers of SMILES-2025 for the opportunity this year to pilot the integration of corporate representatives — CTOs and IT architects — into the summer school program. Such practices can become a catalyst for GenAI transformation in corporations, and we will be happy to support their joint initiatives with the Skoltech AI Center.”
Over two weeks, participants successfully completed an intensive academic program, which included over 30 lectures by leading scientists, hands-on workshops, a poster session, mentor discussions, and large-scale teamwork on research projects.
This year, special attention was given to project work. The final session featured 30 projects in natural language processing, computer vision, generative models, mathematical foundations of AI, and applied tasks. Participants explored modern architectures, tested models on specialized hardware, tackled image and text generation challenges, and studied the robustness of large language models and their applications in scientific scenarios. Projects were developed both in person and remotely — many teams brought together students from different cities and countries.