EANN 2020

21st International Conference on Engineering Applications of Neural Networks

Porto Carras Grand Resort, Halkidiki, Greece

5 – 7 June, 2020

EANN 2020

21st International Conference on Engineering Applications of Neural Networks

Porto Carras Grand Resort, Halkidiki, Greece

5 – 7 June, 2020

EANN 2020

21st International Conference on Engineering Applications of Neural Networks

Porto Carras Grand Resort, Halkidiki, Greece

5 – 7 June, 2020

EANN 2020

21st International Conference on Engineering Applications of Neural Networks

Porto Carras Grand Resort, Halkidiki, Greece

5 – 7 June, 2020

Plenary Talk

Prof. John Macintyre

Pro Vice Chancellor at the University of Sunderland, United Kingdom

Professor Macintyre will give a plenary talk on the following subject:

Timely global trends of AI research & impact on the NEURAL COMPUTING & APPLICATIONS Journal – “AI and Ethics” a new section in Springer Nature.

PROCEEDINGS

The Proceedings of the 21st EANN 2020 will be published in the SPRINGER INNS (International Neural Networks Society) book series and INDEXED to the WEB OF SCIENCE and DBLP 

For more information visit the following Springer Link:
https://www.springer.com/series/16268

BEST PAPER AWARDS

ONE BEST PAPER AWARD of 150 Euros cash will be given to the best student EANN/AIAI 2020 paper
by the General co-Chair PROFESSOR JOHN MACINTYRE (University of Sunderland).

BIBLIOMETRIC DETAILS

We proudly announce that according to Springer’s statistics, the last 9 EANN conferences have been downloaded 491,289 times!!!

For more Bibliometric Details Please click … EANN BIBLIOMETRIC DETAILS

T U T O R I A L S

Artificial Intelligence for Cloud Computing Management

Prof. Vincenzo Piuri

This talk will discuss a user-centric, dependability- and resilience-driven framework that considers deploying and protecting users’ applications in the Cloud infrastructure so as to minimize their exposure to the vulnerabilities in the network, as well as offering fault tolerance and resilience as a service to the users who need to deploy their applications in the Cloud.

More info

AI/ML for games for AI/ML

Dr Kostas Karpouzis

In this tutorial, we will discuss both approaches that relate AI/ML to games: starting from a theoretical review of user/player modelling concepts, we will discuss how we can collect data from the users during gameplay and use them to adapt the player experience or model the players themselves. Following that, we will discuss AI/ML algorithms used to train computer-based players and how these can be used in contexts outside gaming. Finally, we will discuss player modelling in contexts related to serious gaming, such as health and education.

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Utilizing FPGA for AI acceleration without noticing it!

Prof. Yannis Papaefstathiou

Two years ago, an overview was presented in AIAI of how the designers can utilize FPGAs in their embedded systems, through the use of High-Level-Synthesis (HLS) Tools. In this presentation we will dive into the new development approaches that allow the designer to take full advantage of FPGAs, both in the Cloud and on the Edge, while barely noticing that their core processing is executed on reconfigurable logic. The new emerging design flow is based on seamlessly utilizing open-source accelerated libraries that are being optimized for execution on the new highly heterogeneous FPGA-based systems.

More info

W O R K S H O P S

To Be Announced

H A L K I D I K I

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H A L K I D I K I

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