Διάλεξη Ι. Πήτα_Επιστήμη και Μηχανική Τεχνητής Νοημοσύνης

Κυρίες/Κύριοι φοιτητές/επιστήμονες/μηχανικοί και ενδιαφερόμενες/οι για την Τεχνητή Νοημοσύνη,  μπορείτε να παρακολουθήσετε την εναρκτήρια διάλεξη του κου Ι. Πήτα (Καθηγητή ΑΠΘ) ‘Επιστήμη και Μηχανική Τεχνητής Νοημοσύνης: νέο επιστημονικό αντικείμενο?’ στα πλαίσια της Hμερίδα της FITCE “Next-Gen Networks: Integrating AI in Telecommunications and Verticals”, Θεσσαλονίκη, Electra Palace, 10.00- 10.50 πμ, Παρασκευή, 15/12/2023.

Στην ημερίδα συμμετέχουν με ομιλητές τα Εργαστήρια του Τμήματος Πληροφορικής NETCOM lab και ΑΙΙΑ lab.

 Δηλώσεις συμμετοχής:  https://www.tickettailor.com/events/fitce/1080326

Ι. Πήτας

Lecture “AI Science and Engineering: A new scientific discipline?”

Abstract. Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe the birth of a new discipline in the exact sciences that goes beyond the classical specializations of Computer Science (CS) and Electrical/Computer Engineering (ECE). It is natural that AI and its various domains, notably Machine Learning, will share methods and curriculum with both CS and ECE. However, this is not really enough to move from our current Data/Information Society to a Knowledge Society. We certainly need a fusion of AI with brain and mind studies, notably Neuroscience, Cognitive Science and Psychology. Furthermore, AI has a huge impact on both our society and environment. We already observe strong AI applications in social engineering domains, e.g., on recommendation systems, on-line marketing, social media,  meta-societies and fake news. It is natural that such applications will influence the AI Science and Engineering discipline itself. Furthermore, as humans consist of matter and live in a spatiotemporally evolving environment, life and environment studies, e.g., on matter complexity, can have a fundamental impact on both the understanding of life and human intelligence and on the development of AI. However, as students cannot be polymaths, are all the above issues too many to fit in one scientific discipline? Is there a danger that we sacrifice scientific depth to interdisciplinarity? Can we envisage other sister-disciplines, e.g., Mind and Social Science and Engineering and/or Bioscience and Engineering that can address students with interests and background in Liberal Arts and Sciences or Biology/Medicine/Health Sciences?

Lecture ppt can be found in: http://icarus.csd.auth.gr/ai-science-and-engineering-a-new-scientific-discipline/

Bibliography

1. I. Pitas, “Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology“,  https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860
2. I. Pitas, “Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans“,  https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860
3. I. Pitas, “Artificial Intelligence Science and Society Part C: AI Science and Society“, https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860
4. I. Pitas, “Artificial Intelligence Science and Society Part D: AI Science and the Environment“,https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.

His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 15 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 120 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA, AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/.  He was chair and initiator of the IEEE Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. Prof. Pitas led the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ He has 36500+ citations to his work and h-index 90+. According to https://research.com/ he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).