Overview

This River Rapid explores artificial intelligence (AI) implementation priorities, prospect domains, and new research tendencies and trends for AI development and implementation. Part 1 is devoted to the world’s priorities in AI implementation. Its main components are based on the analysis of the 50 National strategies for AI development, the world’s and NATO’s priorities in AI’s implementation, and methodological aspects for creating the Ukrainian AI conception and strategy, key priority areas for the introduction of AI in Ukraine, the conscience approach to AI systems design, and the discussion on the new generation computer system with embedded AI. Special attention is paid to perspectives of AI implementation in education and interrelation and inter-influence between AI and educational systems. Part 2 is devoted to some new tendencies in AI development and implementation. Many scientific results and discussions are directed to some new trends in contemporary AI research: AI systems and tools for shipping and shipbuilding; quantum computing and color optical fuzzy computing in applied AI’s R&D; AI for increasing the efficiency of the decision-making processes; neural networks for solving classification and recognition tasks. This book provides an overview of the recent developments in advanced AI systems including new theoretical findings and successful examples of practical implementation of the AI tools in different areas of human activities. The chapters are presented by invited high-caliber scientists from different countries (Ukraine, the United States of America, Poland, Norway, and the People’s Republic of China).

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Yuriy Kondratenko is a Doctor of Science, Professor, Honour Inventor of Ukraine (2008), Corr. Academician of Royal Academy of Doctors (Barcelona, Spain), Corr. Academician of Royal Academy of Economic and Finance Sciences (Spain), Head of the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Leading Researcher at the Institute of Artificial Intelligence Problems of Ministry of Education and Science and National Academy of Sciences of Ukraine, Ukraine. He has received (a) a Ph.D. (1983) and Dr.Sc. (1994) in Elements and Devices of Computer and Control Systems from Odessa National Polytechnic University, (b) several international grants and scholarships for conducting research at Institute of Automation of Chongqing University, P.R.China (1988-1989), Ruhr-University Bochum, Germany (2000, 2010), Nazareth College and Cleveland State University, USA (2003), (c) Fulbright Scholarship for researching in USA (2015/2016) at the Dept. of Electrical Engineering and Computer Science in Cleveland State University. Research interests include robotics, automation, sensors and control systems, intelligent decision support systems, and fuzzy logic. Anatolii Shevchenko graduated from the Faculty of Physics at Donetsk State University with a major in Radio Physics and Electronics. In 1985, he defended his Ph.D. thesis, earning the academic degree of a candidate. In 1990, he completed his doctoral thesis, obtaining the academic degree of Doctor of Technical Sciences. In 1997, he was awarded the title of professor, and in 1998, he received the honorary title of Honored Scientist and Technician of Ukraine. In 2006, was elected as a Corresponding Member of the National Academy of Sciences of Ukraine in the field of Computer Systems. In 2015, he was appointed as the Director of the Institute of Artificial Intelligence of the Ministry of Education and Science of Ukraine and the National Academy of Sciences of Ukraine in Kyiv. Together with the Department of Informatics of the National Academy of Sciences of Ukraine, he initiated an international scientific journal called ""Artificial Intelligence"" and was appointed as its chief editor. His research interests encompass various aspects of artificial intelligence, modeling human intelligence, simulating elements of human consciousness, breakthrough technologies in the field of artificial intelligence, and multidisciplinary aspects of artificial intelligence.

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