Associate Professor and Dean of FIDIT
Marina Ivašić-Kos is an Associate Professor and Dean of the Faculty of Informatics and Digital Technologies and head of the Laboratory for Computer Vision, Virtual and Augmented Reality at the AIRI Centre, University of Rijeka. She earned her Ph.D. in Computer Science at the Faculty of Electrical Engineering and Computing in Zagreb in 2012. She has been involved in numerous business and research projects as well as several national research projects, and EU ICT COST, Erasmus+, HKO, and Horizon projects. She was a leader of a national research project dealing with automatic action recognition and a researcher at a project dealing with crowd analysis in surveillance. She received a project funded by the Science Foundation Agency for career development of young PhDs. She was the winner of the "Award for scientific excellence in project activities" awarded by the University of Rijeka for 2021 and 2022. She runs a project on Image-based AI-assisted diagnostics of canine ocular disease -AICODD and leads work packages of two Horizon projects in the field of computer vision. Her research interests are focused on artificial intelligence, computer vision, and knowledge representation. She presented her research at numerous conferences and journals. She is a reviewer for numerous high-cited journals in the field of computer science and artificial intelligence and was a guest editor for special issue computer vision-related journals.
This lecture provides an introduction and overview of the field of artificial intelligence with emphasis on various application areas. Typical tasks using artificial intelligence algorithms and model development pipelines based on machine and deep learning will be presented, as well as examples of integrating models into various applications. Typically, Artificial Intelligence models are developed for a specific application domain and fine-tuned to a specific task to help people do their jobs better and with less effort while improving customer service. Due to the good results that AI models achieve today, even in examples outside the strictly controlled deterministic environment, they have become an irreplaceable part of our everyday life and a complement for different types of applications, especially in the field of Big Data analysis, computer vision and natural language processing. As AI increases the value of services and products, we can expect even more rapid development of models and massive integration of AI into various applications, as well as expansion of its use to new, more complex tasks. AI is on the rise, the open questions and challenges in applying AI will be discussed in the conclusion.