The explosive growth in cloud computing systems has permitted the design and realization of novel digital services. This growth has ripple effects, such as significant data growth: by 2020, about 1.7 megabytes of new information will be created every second for every person on the planet and the accumulated digital universe of data will grow from today’s 4.4 zettabytes today to around 44 zettabytes or 44 trillion gigabytes. Meanwhile, internet-connected things are growing rapidly in number as well. Within this context, new opportunities arise from the wealth of data generated, processed, and stored. In a sense, artificial intelligence (AI), Machine Learning (ML) and distributed Deep-Learning (DL) provide a response to these challenges, requiring minimal investment in human resources to exploit a large amount of data in order to extract the relevant information from it with the promise of finding optimizations to unleash unknown market potential. Specifically, intelligent applications and services based on AI, ML, DL and extreme scale analytics constitute the next wave of technology and together with the burst of connected devices (Internet of Things – IoT) and the important advancements in sensor technology push current ICT infrastructures to their limits, with the latter failing quite often to host, provide and/or manage such applications efficiently or at all.

This CAS-sponsored 3-day school on “Innovation for Data Era: Power the Era of Artificial Intelligence”, named InnoAI School, offers a great opportunity to students, scientists, and professionals who desire to enhance their understanding and gain insight in basic and advanced issues on the design of the future machine learning based intelligent systems. The content of the school targets several the above-mentioned issues and areas where ML and AI are expected to play an essential role. In addition, to tutorial-like lectures and school includes one day with hands-on lab on ML applications with MATLAB.

Venue: Aristotle University’s Research Dissemination Center (KEDEA) Hall I

For the full program of the even and to register please follow the link: https://innoai.web.auth.gr/

	Registration	Early Registration (until 14 Nov. 2021)
Φοιτητές μέλη του ΙΕΕΕ CAS/ ΙΕΕΕ CAS student member registration (εγγραφή μόνο με email)	0	0
Φοιτητές μέλη του ΙΕΕΕ/ ΙΕΕΕ student member registration	15	10
Φοιτητές μη μέλη του ΙΕΕΕ / Students non IEEE members	30	20
Μέλος ΙΕΕΕ CASS / IEEE CASS regular members	40	30
Γενική τιμή εγγραφής / Registration for all others	70	50
On-line παρακολούθηση (με πιστοποιητικό παρακολούθησης μετά την λήξη)	10	10

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Invited Speakers
Name	Affiliation
Prof. Luca Benini	ETH Zurich, Switzerland and University of Bologna, Italy
Prof. Sandro Carrara	Bio/CMOS Interfaces (BCI) Group, EPFL-Neuchatel, Switzerland
Assistant Prof. George Keramidas	Department of Informatics, Scientific Director, Think Silicon, Greece
Associate Prof. Christos Strydis	Erasmus Medical Center & Delft University of Technology
Associate Prof. Nikos Pitsianis	Department of ECE, Aristotle University of Thessaloniki
Dr. George Zervakis	Chair for Embedded Systems at Karlsruhe Institute of Technology (KIT), Germany
Dr. Dionysios Diamantopoulos	Post-Doc Researcher – Accelerator technologies, Zurich Research Laboratory, IBM, Switzerland
Dr. Anastasios Drosou	Information Technology Institute, Centre for Research and Technology Hellas (CERTH), Greece