Prof. Dr. Betim Çiço nga Universiteti Metropolitan Tirana do të drejtojë sesioni e Inteligjencës Artificiale në Konferencën MECO.

MECO-S4A-2022 është një sesion i vecantë i ndërlidhur me SMART4ALL. 

Rreth MECO-AI-2022: 

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:

1. Planning and designing, data collection and processing, and model building and interpretation,
2. Verification and validation,
3. Deployment, and
4. 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