Translation. Region: Russian Federal
Source: Peter the Great St Petersburg Polytechnic University – Peter the Great St Petersburg Polytechnic University –
A large-scale All-Russian scientific and practical conference with international participation “Industrial Artificial Intelligence” is taking place at Peter the Great St. Petersburg Polytechnic University. The event is organized with the support of the St. Petersburg Branch of the Russian Academy of Sciences and in cooperation with St. Petersburg State University.
Over 150 participants from over 25 universities and research organizations, about 20 enterprises and companies — developers of the real sector of the economy — registered for the conference. Representatives of various regions of Russia — St. Petersburg, Moscow, Tyumen, Novosibirsk, Orenburg, Tomsk, Kazan, Murmansk, Veliky Novgorod, Samara and other cities — are participating in the conference. Foreign participants are also involved — from Belarus and China, the latter is represented by postgraduate students.
The conference brought together the academic community from leading universities and research centers working in the field of intelligent control systems: SPbPU, SPbSU, IPU named after Trapeznikov RAS, MAI, MIPT, FRC RAS, IPME RAS, LETI, ITMO, Tyumen State University, Omsk State Technical University and others. Representatives of the industry also participate in it — industrial companies and developers, including PJSC Gazprom Neft, JSC Kola MMC (Norilsk Nickel), JSC Atomic Soft, LLC Rakurs Engineering, as well as developers of software solutions and young researchers.
Co-chairman of the conference program committee and moderator of the plenary session, Corresponding Member of the Russian Academy of Sciences, Vice-Rector for International Affairs of SPbPU Dmitry Arsenyev, opening the event, emphasized: The strategy of technological leadership requires us to move from abstract reasoning to the creation of “strong” industrial AI – systems capable of managing structurally complex objects in conditions of uncertainty. Today we have tried to unite the academic and university community, as well as leading Russian industrial companies to discuss the most pressing issues of development and implementation of promising breakthrough solutions in the field of industrial artificial intelligence, intelligent control systems, automation and robotics technologies.
First Vice-Rector of SPbPU, Corresponding Member of the Russian Academy of Sciences, Vitaly Sergeev welcomed the conference participants: Artificial intelligence is a new level of development of automation systems. It is the synergy of industry, science and education that will lead to the creation of breakthrough products, where AI will become the basis for design, optimization and work with big data, which is beyond the control of the human brain.
The first day’s program opened with a series of key plenary presentations devoted to discussing the current state, main challenges and current tasks in the development and implementation of advanced solutions in the field of industrial artificial intelligence, intelligent control systems, as well as automation and robotics technologies.
Dmitry Arsenyev, together with Vyacheslav Shkodyrev, professor at the Higher School of Cyber-Physical Systems Management at SPbPU, opened the scientific discussion with a report entitled “Strong Industrial Artificial Intelligence: Principles of Cognitive Science and Knowledge Structuring in Management Systems,” setting the tone for the entire forum.
Director of Science at Gazprom Neft PJSC, Professor Mars Khasanov, presented the industry’s challenges and ways to solve them in his speech “Engineering Artificial Intelligence: Challenges and Responses to Them.”
Engineering AI is the answer to a fundamental problem: 90% of profit is generated in the early stages of projects, where we have almost no data. We need hybrid neurosymbolic systems that combine expert knowledge with generative technologies to overcome the “closure defect” of human thinking and find non-obvious solutions, he noted.
Director of the Center for Intelligent Robotic Systems of the V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Professor of the Russian Academy of Sciences Roman Meshcheryakov spoke about fundamental approaches to creating complex autonomous systems in his report “Intelligent Robotic Systems. General Approaches”: Robot teams are systems where stability is achieved through the synergy of “rigid” algorithms and adaptive machine learning. Our experiments prove that effective group management is possible – the main thing is to create an architecture that imitates natural cooperation.
A practical view on replacing foreign solutions was voiced by Leonid Chernigov, CEO of Rakurs Engineering LLC, who discussed in detail the topic of “Import substitution in control and monitoring systems, diagnostic issues using artificial intelligence at power engineering facilities.” The plenary session was concluded by Dmitry Sannikov, Director of the Innovation Department of JSC Kola MMC Norilsk Nickel, who shared the company’s real experience in the report “Using AI at industrial enterprises of PJSC MMC Norilsk Nickel. Challenges and approaches.” Thus, leading experts covered a range of topics from the concepts of “strong” and engineering AI to specific cases of implementation and import substitution in APCS.
The section “Software and hardware platforms and artificial intelligence technologies in automation and control systems” discussed physically-aware models of machine learning and neurosymbolic artificial intelligence as the basis for digital twins of energy pipeline systems, an intelligent control system for the process chain, technologies for automation and intellectualization of proactive control of complex objects and other equally important issues. The report by Marina Bolsunovskaya, head of the laboratory “Industrial systems for streaming data processing” of the Advanced Engineering School of SPbPU “Digital Engineering”, reflected the experience of the Polytechnic University in implementing real projects in the field of artificial intelligence, practical cases and lessons learned at the stage of implementing theoretical solutions.
Students and postgraduates from SPbPU, SPbSU, MIPT, ITMO, Tyumen State University, BRU and other universities presented the results of their research and developments in the field of AI at the youth section at the Polytech-Cyberphysics center. The issues of creating mechanisms and models to increase the transparency of AI decisions, the use of various neural network models to solve not only engineering problems, but also in medicine and education were discussed.
The plenary session on the second day of the conference was opened by the moderator, co-chairman of the program committee, corresponding member of the Russian Academy of Sciences, doctor of physical and mathematical sciences, professor, head of the Department of Applied Cybernetics at St. Petersburg State University Nikolay Kuznetsov. In his report, he noted the innovative approach of St. Petersburg State University to training personnel, telling about the first specialist in the field of artificial intelligence mathematics in Russia, emphasizing the need for a close connection between fundamental science and industry demands. The topic found a wide response from the audience and was supported by the report “Prohibit cannot be used”. The report of the Vice-Rector for Digitalization of MAI Sergey Popov – “Application of Large Language Models in the Educational Process” – was devoted to finding a balance between the capabilities of AI and compliance with the principles of academic integrity.
The experts discussed issues of distributed and hybrid group intelligence, predictive analytics and intelligent systems, industrial security. Valery Odegov, CEO of Atomic Soft JSC, emphasized technological sovereignty in industrial automation, presenting domestic solutions for automated process control systems and their role in ensuring the independence of critical industries. Maxim Kalinin, professor at SPbPU, touched upon the vital issue of cyber resilience of digital electrical substations in the face of growing cyber threats.
Summing up the conference, the participants and organizers noted the high scientific and practical level of the reports presented, the relevance of the topics raised – from fundamental research to specific implementation solutions in industry. The importance of the platform for dialogue between science, education and business in such a strategically important area as industrial artificial intelligence was especially emphasized.
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