• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Artificial and Augmented Intelligence: Connecting Business, Education and Science

Artificial and Augmented Intelligence: Connecting Business, Education and Science

© iStock

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.

Natalia Aseeva
© Press Service of HSE University in Nizhny Novgorod

— 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:

HSE University Leads the AI Alliance Ranking

The AI Alliance Russia has released a new ranking of Russian universities based on the quality of education in the field of AI. Similar to last year, HSE University has joined the leaders in A+ group alongside MIPT and ITMO. A total of 207 universities from 69 Russian regions participated in the ranking. In 2024, over 35,000 students were enrolled in AI-related programmes at these universities.

Reinforcement Learning Enhances Performance of Generative Flow Networks

Scientists at the AI Research Centre and the AI and Digital Science Institute of the HSE Faculty of Computer Science applied classical reinforcement learning algorithms to train generative flow networks (GFlowNets). This enabled significant performance improvements in GFlowNets, which have been employed for three years in tackling the most complex scientific challenges at modelling, hypothesis generation, and experimental design stages. The results of their work achieved a top 5% ranking among publications at the International Conference on Artificial Intelligence and Statistics AISTATS, held on May 2-4, 2024, in Valencia, Spain.

‘I Came Up with the Idea to Create an Application Useful for Practicing Physicians’

Dmitry Ryabtsev, a 2024 graduate of the master's programme at the HSE Faculty of Computer Science, created an AI-powered software service for ophthalmology during his two years of study. This product is now entering the market, and its developer plans to participate in establishing a working group on software engineering for medical applications at the HSE Faculty of Computer Science, with the goal of promoting more genuinely useful domestic projects. In an interview with HSE News Service, Dr Ryabtsev shared his story of how a professional doctor turned into a programmer.

HSE University and Sber Conduct Foresight in Artificial Intelligence

HSE University, in collaboration with Sber, have conducted a foresight study on artificial intelligence (AI). Its early results were discussed by the participants of a strategic foresight session on exploratory research in AI, held at the Coordination Centre of the Russian Government, headed by Deputy Prime Minister Dmitry Chernyshenko. The results from the foresight study will inform the Unified Research and Development Programme in the Field of AI.

White Papers of AI Conformity Assessment Published on HSE University Website

The Russian Technical Committee for the Standardization of ‘Artificial intelligence’ (TC164), together with the Chamber for Indo Russo Technology Collaboration and the RUSSOFT Non-profit Partnership of Software Developers, has published new White Papers related to Artificial Intelligence Conformity Assessment. It reflects the approaches to the standardization and ethical regulation of AI technologies in two pilot industries — healthcare and agriculture.

Space for Collaboration in Artificial Intelligence

The HSE Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) has launched regular seminars, offering students and scientists from various universities and research centres the opportunity to share their latest research and discuss the most recent developments in artificial intelligence in a friendly and constructive atmosphere. The first seminar was held on May 15.

Scientists Propose Star-Shaped Diffusion Model

Scientists at the AI Research Centre and the Faculty of Computer Science at HSE University, the Artificial Intelligence Research Institute (AIRI), and Sber AI have come up with novel architecture for diffusion neural networks, making it possible to configure eight distinct types of noise distribution. Instead of the classical Markov chain model with Gaussian distribution, the scientists propose a star-shaped model where the distribution type can be selected and preset. This can aid in solving problems across various geometric modalities. The results were presented at the NeurIPS 2023 conference.

HSE Scientists Leverage AI to Accelerate Advancement of 5G and 6G Wireless Communication Systems

The HSE Artificial Intelligence Centre has developed software for modelling radio channels in 5G and 6G wireless networks, based on ray tracing and machine learning techniques. Their software solutions enable modelling radio wave propagation between transmitters and receivers and can convert ray tracing data into a frame sequence format, configure and train neural networks based on this data, and subsequently save the trained models. 

‘Like Electricity, AI Can Bring Incredible Benefits’

Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.

‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’

A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.