Track Information

Track: Artificial Intelligence

Artificial Intelligence (AI) is a transformative force across various industries, shaping the future of modern technology. In this track, we invite contributions from the versatile landscape of AI, by focusing on its latest developments, challenges, and societal implications. Participants can expect insightful discussions on cutting-edge AI applications, ethical considerations, and the evolving role of AI in our daily lives. From Machine Learning algorithms to Natural Language Processing, this track provides a comprehensive overview of the rapidly advancing field of AI, offering a platform for researchers to exchange ideas and explore the future possibilities that AI holds. We welcome research articles, conceptual articles, case studies, and position papers that tackle aspects of AI with a diverse range of theoretical lenses and applied methodologies.

We invite manuscripts including, but not limited to, the following topics:
● Large language models: algorithms and applications
● Advances in machine learning algorithms
● Recommender systems
● Hyperparameter tuning algorithms
● Clustering and multidimensional scaling
● Computer Vision and understanding
● Text analysis and natural language processing
● Theoretical foundations and computational complexity of AI algorithms
● Industrial applications of machine learning
● Heuristics and Optimization
● Statistical inference of machine learning algorithms
● AI and IoT

Track Chairs
Ioannis Christou School of Liberal Arts and Sciences, Department of Information Technology \& RTIN-AI Lab, American College of Greece, Deree, Athens, Greece (email ichristou@acg.edu )
Savvas Chatzichristofis, Intelligent Systems Laboratory, Neapolis University Pafos, Cyprus (email s.chatzichristofis@nup.ac.cy)