Introduction

The Thematic Track “Generative AI – Foundations and Applications” explores both the practical and theoretical dimensions of generative artificial intelligence, providing a comprehensive overview of its fundamental principles, methodologies, and real- world applications. This track delves into state-of-the-art research, addressing key advancements in generative models, including deep learning architectures such as GANs, VAEs, and Transformer-based models, and their growing impact across diverse fields such as healthcare, creative industries, natural language processing, and scientific discovery.
In addition to technical advancements, the track critically examines the challenges and ethical considerations associated with generative AI, including bias mitigation, transparency, intellectual property concerns, and the societal implications of synthetic content generation. This track also fosters discussions on the current trends, limitations, and future directions of generative AI, paving the way for innovative solutions and responsible deployment in various domains.

Topics of interest

• Generative AI
• Synthetic Data Generation
• Foundational Models and Algorithms

Organizing committee

• Penousal Machado, University of Coimbra, DEI, CISUC/LASI
• José Machado, University of Minho, DI, ALGORITMI/LAS
• Paulo Moura Oliveira, UTAD University, INESC- TEC/LASI