Artificial Intelligence is now mature enough to penetrate as a “horizontal” method of dealing and solving problems in a wide range of various scientific fields such as Telecommunications, Healthcare, Energy, Fault Diagnosis, Space Exploration, Legislation, Art, Services (“Smart Cities”, “Smart Homes”), Agriculture and Foodsector, etc. In any of these fields, Artificial Intelligence operates either complementary or in combination or even alternatively to the “conventional” methodologies, offering the desired features of speed and accuracy in the automated result extraction and decision making.This course aims to be a forum where representative important scientific fields of Artificial Intelligence exploitation are presented and its relative advantages compared to the conventional methods on each field are analyzed. The course content, providing an initial list of topics, is dynamically formed as a series of lectures covering various topics of state-of-the-art technologies and methods, reflecting the “now” of Artificial Intelligence, staffed with invited experts, scientists and professionals from each relevant field.

• Introduction : AI and its interconnection with other scientific fields (C. Patrikakis)
• Topic 01 : AI and education: current state and prospects (Μ. Rangoussi)
• Topic02 : Robots extended from home until Mars (G. Nikolaou)
• Topic 03 : AI and next generation data communications (S. Livieratos, S. Mitilineos)
• Topic 04 : Application of AI on Agriculture and livestock farming (C. Patrikakis)
• Topic 05 : AI and culture heritage protection (Th. Ganetsos)
• Topic 06 : Applications of AI and Deep Learning in Electric Power Systems (C. Psomopoulos – Machine Learning, S. Kaminaris  Artificial Intelligence)
• Topic 07 : Advances in multimedia and communications – entertainment (C. Patrikakis)
• Topic 08 : Smart cities and quality of life – citizen security – Society 5.0 (C. Patrikakis)
• Topic 09 : Smart assistants and chat systems (C. Patrikakis)
• Topic 10 : Advances in industry and Industry 4.0 (P. Papageorgas)

Studying and presenting a topic taken from the world news, literature, economic-technical-social studies, based on the educational material provided by the instructors, regarding the application and the future of AI.