HSE University to Join Physical AI Garage Project by Yandex

Yandex is collaborating with leading Russian universities to launch a new educational programme called Physical AI Garage. This initiative unites five universities—HSE University, ITMO, MIPT, MAI, and MEPhI—to train future professionals in physical artificial intelligence by tackling real-world industrial challenges. The programme is free, and participants will receive scholarships.
AI robotics and physical AI are cutting-edge fields focused on creating intelligent robots and autonomous systems that can perceive and analyse their environment and make independent decisions in real-world conditions. These technologies perform complex tasks in diverse sectors such as logistics, manufacturing, materials science, and medicine.
Physical AI Garage will launch in the fall of 2026. Developed by autonomous transport and Yandex Education teams, the programme will hold classes both at university campuses and Yandex offices. During practical modules at Yandex, students will work for several weeks on real tasks in physical AI and autonomous systems, assisted by mentors from Yandex and the School of Data Analysis. They will also have access to courses on AI, algorithms, and machine learning from the Yandex School of Data Analysis. The theory-and-practice approach will equip graduates to contribute to real-world projects.
In 2025, HSE University became the overall leader in the AI Alliance Russia university rankings for the quality of its AI education. It was the only university to enter the newly created highest A++ category. Furthermore, in June 2025, HSE University was selected as one of the winners in the third wave of AI research centres, and in April 2025, it secured first place among universities in the competitive selection for TOP DS programmes, which will train AI specialists from 2025 to 2030.
The first cohort of Physical AI Garage will consist of one hundred students selected from university engineering programmes. Participants will receive a scholarship and have access to Yandex’s computing resources for their projects, with the opportunity to consult the company’s experts.
Daria Kozlova
Director of Yandex Education
‘Physical AI represents a new phase of technological development, when artificial intelligence integrates into the physical world: manufacturing, logistics, and urban infrastructure. This requires experts who understand how to connect algorithms with engineering systems. We are launching Physical AI Garage to train new type of specialists in collaboration with universities. The experience and technology of the autonomous transport team help us to train students,’ says Daria Kozlova, Director of Yandex Education.
Yandex has two core teams advancing this field: the Yandex Robotics team is creating a universal ‘brain’ for service and industrial robots, while the autonomous transport team is developing technologies enabling vehicles to perceive the road and make safe decisions. The knowledge and experience of these teams form the foundation of the new educational programme in AI robotics.
See also:
Human Intuition Proves Stronger than Algorithms: Game Theory Tournament Held at HSE University in Perm
Researchers from the International Laboratory of Intangible-driven Economy (Perm) and the HSE Laboratory of Sports Studies, together with mathematician and science populariser Alexey Savvateev, organised a game theory tournament entitled ‘The Election Race.’ Participants competed both against one another and against artificial intelligence. For now, humans have managed to gain the upper hand and propose more effective strategies.
Educational Programmes on Robotics and Neural Network Technologies Launch at HSE University’s Faculty of Computer Science
Every year, in response to IT industry demands, the Higher School of Economics Faculty of Computer Science launches new educational programmes while updating existing ones. In 2026, the faculty introduced Bachelor’s and Master’s degree programmes in robotics for the first time.
‘Policymakers Should Prioritise Investing in AI for Climate Adaptation’
Michael Appiah, from Ghana, is a Postdoctoral Fellow at the International Laboratory of Intangible-Driven Economy (IDLab) at HSE University–Perm. He recently spoke at the seminar ‘Artificial Intelligence, Digitalization, and Climate Vulnerability: Evidence from Heterogeneous Panel Models’ about his research on ‘the interplay between artificial intelligence, digitalisation, and climate vulnerability.’ Michael told the HSE News Service about the academic journey that led him to HSE University, his early impressions of Perm, and how AI can be utilised to combat climate change.
AI Overestimates How Smart People Are, According to HSE Economists
Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behaviour, they often end up playing 'too smart' and losing because they assume a higher level of logic in people than is actually present. The study has been published in the Journal of Economic Behavior & Organization.
HSE Scientists Develop DeepGQ: AI-based 'Google Maps' for G-Quadruplexes
Researchers at the HSE AI Research Centre have developed an AI model that opens up new possibilities for the diagnosis and treatment of serious diseases, including brain cancer and neurodegenerative disorders. Using artificial intelligence, the team studied G-quadruplexes—structures that play a crucial role in cellular function and in the development of organs and tissues. The findings have been published in Scientific Reports.
HSE Strategic Technological Projects in 2025
In 2025, HSE University continued its participation in the Priority 2030 Strategic Academic Leadership Programme, maintaining a strong focus on technological leadership in line with the programme’s updated framework. A key element of the university’s technological leadership strategy is its Strategic Technological Projects (STPs), aimed at creating in-demand, knowledge-intensive products and services.
School Students Master Communication with GigaChat at HSE and Sber Hackathon
In late December 2025, a unique competition was held at HSE University where participants solved challenges not by writing code, but solely by interacting with Sber’s GigaChat artificial intelligence model. The Improm(p)tu hackathon was an experiment less about programming skills than a new form of literacy: the ability to work effectively with AI by translating complex problems into a language neural networks can understand.
Artificial Intelligence Transforms Employment in Russian Companies
Russian enterprises rank among the world’s top ten leaders in AI adoption. In 2023, nearly one-third of domestic companies reported using artificial intelligence. According to a new study by Larisa Smirnykh, Professor at the HSE Faculty of Economic Sciences, the impact of digitalisation on employment is uneven: while the introduction of AI in small and large enterprises led to a reduction in the number of employees, in medium-sized companies, on the contrary, it contributed to job growth. The article has been published in Voprosy Ekonomiki.
HSE Seeks New Ideas for AI Agents: Initiative Competition Launched
HSE University is inviting researchers and lecturers to present concepts for new digital products based on artificial intelligence. The best projects will receive expert and technological support. Applications are open until December 19, 2025.
Final of International Yandex–HSE Olympiad in AI and Data Analysis Held at HSE University
Yandex Education and the HSE Faculty of Computer Science have announced the results of the international AIDAO (Artificial Intelligence and Data Analysis Olympiad) competition. Students from 14 countries took part. For the second year in a row, first place went to the team AI Capybara, which developed the most accurate AI model for an autonomous vehicle vision system.


