Artificial and Augmented Intelligence: Connecting Business, Education and Science

The history of AI research in Nizhny Novgorod dates back to the 1960s and 1970s. Today, AI technologies, from voice assistants and smart home systems to digital twin creation and genome sequencing, are revolutionising our life. Natalia Aseeva, Dean of the Faculty of Informatics, Mathematics and Computer Science at HSE Campus in Nizhny Novgorod, discusses how the advancement of AI connects science, business, and education.
— How do AI technologies benefit people?
— Experts identify two main concepts for using AI technologies. The first is when human activity is completely replaced by technology, which is known as artificial intelligence. The second concept is when AI enhances a person's abilities, eg quickly prepares decisions based on data, but the final decision-making remains with the person. This concept is known as augmented intelligence.
There are numerous well-known examples. We have all become accustomed to using chatbots and voice assistants for various purposes, as well as finding convenient and quick routes through navigational systems. All these products use AI technologies.
Then there are several socially significant areas where human involvement and decision-making, supported by augmented intelligence systems, are crucial. For example, in medicine, digital diagnostics and high-tech research powered by artificial intelligence can be highly useful. However, the final diagnosis and treatment decisions are still made by doctors, as we are all very different and medical treatment cannot be entirely entrusted to a computer.
— Starting in 2024, HSE Campus in Nizhny Novgorod is offering enrolment to the Bachelor's Programme 'Artificial and Augmented Intelligence Technologies,' created in partnership with the Neimark IT Campus. What prompted the launch of this programme in Nizhny Novgorod?
— The history of AI research in Nizhny Novgorod dates back to the work of scientists from the 1960s and 1970s. At that time, Professor Yuri Neimark worked on the theories that laid the foundation for computer vision and artificial intelligence technologies. In the 1990s, Western IT companies arrived in this rich research environment, which, in turn, fostered the growth of the city's IT community. The OpenCV computer vision library, developed in part by Nizhny Novgorod engineers, has become a landmark project in the field of AI.
Regarding the number of companies and specialists in this field, Nizhny Novgorod currently ranks among the top in the country, according to various estimates. Therefore, it is here that we will train highly sought-after specialists whose knowledge and skills enable them to tackle both applied and research challenges in artificial intelligence and machine learning.

— What mechanisms does the programme incorporate for students to build and practice their skills?
— For the second consecutive year, HSE University has ranked in the A+ group of leaders in terms of the quality of training specialists in AI. This means that the university’s faculty are leading researchers with A* publications, and the programme includes collaborative projects with industry partners, particularly with BigTech companies such as Alfa–Bank and VK. The presence of both of these factors is essential for students to develop the ability to independently create products and services based on data.
Each student of the Bachelor's Programme 'Artificial and Augmented Intelligence Technologies' will participate in leading conferences, research schools, and other events in the field of AI, and will be involved in project activities with research teams at HSE University and its partners, starting from the first year.
— What projects are scientists at HSE Campus in Nizhny Novgorod currently working on, and are there any partner programmes focused on the development of AI technologies?
— To create applied systems in the future, we must continually expand our scientific knowledge. The Faculty of Informatics, Mathematics, and Computer Science includes cutting-edge scientific laboratories, such as the Laboratory of Algorithms and Technologies for Network Analysis (LATNA) and the Laboratory of Theory and Practice of Decision-Making Support Systems (TAPRADESS). These laboratories conduct both fundamental and applied research in the field of artificial intelligence.
For example, specialists at the Laboratory of Algorithms and Technologies for Network Analysis have been developing new network models for data mining and artificial intelligence methods for computer vision, including industrial image recognition technologies for mobile devices.
In close collaboration with the TAPRADESS Laboratory, and within the framework of the Priority 2030 programme, staff members of the Faculty of Informatics, Mathematics, and Computer Science have been working on applied projects in the field of artificial intelligence related to medicine and education.
— Why is it so important today to develop AI projects and pursue formal education in this field?
— Active implementation of AI-enabled technologies in enterprises ensures higher speed and better quality of business processes. Companies need specialists with advanced knowledge and the ability to generate innovative ideas. Russia's current AI development strategy aims to increase the number of university graduates with qualifications in artificial intelligence fivefold by 2030 and to ensure that 85% of employed specialists have applied AI skills.
There are already numerous AI-focused projects at HSE Campus in Nizhny Novgorod, involving both our staff and students. We consider it a high-priority objective to advance and implement AI technologies across various areas of human life and society, including scientific disciplines and economic sectors.
In 2024, enrolment is underway for ten state-funded and forty fee-paying places in the Bachelor’s Programme 'Artificial and Augmented Intelligence Technologies.' Click here to learn more and apply.
See also:
‘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.
AI Lingua Included in Compilation of Best International AI Practices in Higher Education
HSE University has been acknowledged internationally for its pioneering efforts in integrating artificial intelligence into higher education. The AI Lingua Neural Network developed at HSE was included in the renowned international collection ‘The Global Development of AI-Empowered Higher Education: Beyond the Horizon.’ The compilation was prepared by the Institute of Education (IOE) of Tsinghua University with the support of the Ministry of Education of the People's Republic of China and a global advisory committee, which included experts from Oxford, UCL, Sorbonne, Stanford, and other leading academic centres.
Technological Breakthrough: Research by AI and Digital Science Institute Recognised at AI Journey 2025
Researchers from the AI and Digital Science Institute (part of the HSE Faculty of Computer Science) presented cutting-edge AI studies, noted for their scientific novelty and practical relevance, at the AI Journey 2025 International Conference. A research project by Maxim Rakhuba, Head of the Laboratory for Matrix and Tensor Methods in Machine Learning, received the AI Leaders 2025 award. Aibek Alanov, Head of the Centre of Deep Learning and Bayesian Methods, was among the finalists.


