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AI might transform governance of education, engineering, communication, business, and defense in the next decades
Special Session on SMART4ALL Project
Prof. dr Betim Cico, Metropolitan University of Tirana
Venue and date:
Hotel Budva, Budva, Montenegro, June 7-10, 2021
In 2019 the AI Group of Experts at the OECD defined the AI system as a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments.
AI systems are designed to operate with varying levels of autonomy. AI system lifecycle phases consist of:
- Planning and designing, data collection and processing, and model building and interpretation,
- Verification and validation,
- Deployment, and
- Operation and monitoring
Artificial Intelligence is becoming a crucial tool in decision making processes not only in computer science fields but as well in economy, communication, and social science fields. Such process varies from complex business analysis required from companies to draw their business plan model to intelligent interaction system such as virtual assistant.
The former, demands high-performance computing as they elaborate enormous quantity of data through complex algorithms. The latter should be easily adopted to devices in common use by the population. Virtual assistants have already been successfully integrated in smartphone throw application such as Siri, Alex, and Google Assistant. These applications are able to interact with the end-user and satisfy their request by processing a natural language rather than commands.
One of the most promising AI techniques is machine learning (ML), which is described as a set of techniques to allow machines to learn in an automated manner through patterns and inferences rather than through explicit instructions from a human.
Behind ML is a technique referred to as ‘neural networks’, which is accompanied by growing computational power and the availability of massive datasets, also known as big data. In education for example, language learning applications rely on ML.
Beside human interaction, devices are commonly interacting with one-another in this new environment of Internet of Things in order to, autonomously, achieve some common goals. Exchanging and sharing information is not an aim on-its-own but making decisions and undertaking actions.
More and more, small devices with little processing and power consumption capabilities (such as wearable devices) are claiming their rights to be intelligent. Said so, AI needs to adopt to embedded systems that aim to offer custom services to the end user.
Artificial intelligence is embedded in many technological innovations that provide analytics, recommendations, and diagnosis tools in various ways and for various purposes. In many cases, AI applications are still nascent and used in experimental and local contexts rather than at scale at the system level.
There are, however, many examples of promising uses that foreshadow how AI might transform governance of education, engineering, communication, business, and public security in the next decades, both at the unit and at the system levels, and address different stakeholders: students, teachers, administrators, as well as policy makers.
This is the main reason we think that AI should be given a particular attention and space, through a dedicated workshop in the MECO conference, to boost the research activity in such direction. Contributions of the workshop should cover a multi-disciplinary area combining computer engineering and science with one of the following topics:
- Artificial Intelligence in education (as the main promoter of any novel technology)
- Artificial Intelligence in engineering
- Artificial Intelligence in communication
- Artificial Intelligence in public security
- Artificial Intelligence in business
- …. other related areas
Virginio Cantoni, Pavia University, Italy
Costin Bădică, University of Craiova, Romania
Neki Frasheri, Academy of Sciences of Albania, Albania
Marco Porta, Pavia University, Italy
Krešimir Fertalj, University of Zagreb, Croatia
Mª PILAR COUSIDO, Complutense University of Madrid, Spain
Marjan Krašna, University of Maribor, Slovenia
Milena Lazarova, Technical University – Sofia, Bulgaria
Vladimir Trajkovik, Ss. Cyril and Methodius University, North Macedonia
Novica Nosović, University of Sarajevo, Bosnia-Herzegovina
Cristina Puente Águeda, Universidad Pontificia Comillas, Spain
Indrit Enesi, Polytechnic University of Tirana, Albania
Sašo Karakatič, University of Maribor, Slovenia
Marcos Sánchez-Élez, Complutense University of Madrid, Spain
Isak Shabani, University of Pristina, Kosovo
Kemal Tutuncu, Selcuk University, Konya, Turkey
Agon Memeti, University of Tetovo, North Macedonia
Prospective authors are invited to submit two types of contributions: regular paper (standard) or demo papers (short). MECO submissions rules apply.
MECO quality and indexing applies.
Travel and transportation:
MECO travel and transportation advices applies.
About the Chair:
Special Session on SMART4ALL
Prof. dr Radovan Stojanovic, University of Montenegro and MECOnet
Prof. dr Lech Jozwiak, Eindhoven Technical University, Netherlands
Prof. dr Marika Apostolova Trpkovska, South East European University, North Macedonia
Venue and date:
Hotel Budva, Budva, Montenegro, June 7-10, 2021
MECO Consortium and MECOnet
Self-sustained customized cyberphysical system experiments for capacity building among European stakeholders (SMART4ALL), is a four-year flagship EU project under the call DT-ICT-01-2019: Smart Anything Everywhere for connecting Digital Innovation Hubs across Europe. The SMART4ALL consortium consists of 25 European partners with interdisciplinary skills and know-how from universities, research institutes, investors, networking organizations, SMEs, Innovation Hubs and NGOs.
The project will build capacity (via Open Calls) amongst European stakeholders through the development of self-sustained, cross-border experiments that transfer knowledge and technology between academia and industry. It targets CLEC (Customized low energy computing) CPS/IoT and combines a set of unique characteristics that join together different cultures, policies, geographical areas and application domains under a common vision.
- Digitized transportation,
- Digitized agriculture,
- Digitized environment
- Digitized health with emphasis to COVID-19 pandemic
- Digitized anything
- SMART anything everywhere
- PAE: Pathfinder Application Experiments
Prospective authors are invited to submit two types of contributions:
- Demo papers (short) or presentation that should be sent to firstname.lastname@example.org and will be published in special edition of SMART4ALL MECO 2022 Session Proceedings
- Full papers, full-length, four-page papers, strictly according to the IEEE Conference Standards, considered as regular MECO 2022 paper and apply to MECO submission rules.
- Short/demo paper (Suitable for PAE Experiment, max 2 pages):
- Send short/demo papers to email@example.com under subject “SHORT PAPER MECO”
- April 15 2022:
Demo papers of SMART4ALL consortium members a free of charge and could be sent to email meconet.me.
Regular IEEE papers are subject of charge according to the MECO registration rules.
All MECO quality and indexing rules apply.
Budimir Lutovac, University of Montenegro, Montenegro
Nikolaos Voros, University of Peloponnese, Greece
Michael Huebner, Brandenburg University of Technology, Greece
Christos Antonopoulos, University of Peloponnese, Greece
Georgios Keramidas, Aristotle University of Thessaloniki, Greece
Vesna Maraš, 13. Jul Plantaže, Montenegro
Andrey Skraba, University of Maribor, Slovenia
Dhurate Hyseni, University of Prizren, Kosovo
Marika Apostolova Trpkovska, South East European University, North Macedonia
Stephan Wong, Technical University Delft, Netherlands
Adrian Besimi, SEEU, Macedonia
Dmitry Tarasov, MECOnet
Matija Stojanović, MECOnet
Radovan Stojanović, Lech Jozwiak are fellows of MECO and CPSIoT community and projects, having over 30 years of experience in the fields of General Computing and Electronics including Embedded systems, CPS and IoT. Marika Apostolova Trpkovska is an Assistant Professor at South East European University and experienced Western Balkan researcher in software engineering and ICT.