AI Application
Artificial intelligence (AI) applications are rapidly transforming various sectors, driven by advancements in model architectures like large language models (LLMs) and deep learning, and a focus on efficient data management and deployment. Current research emphasizes responsible AI development, including addressing ethical concerns, mitigating biases, and ensuring trustworthiness through standardized documentation and robust testing frameworks. This work holds significant implications for improving efficiency and decision-making across diverse fields, from healthcare and finance to manufacturing and autonomous systems, while simultaneously highlighting the need for careful consideration of societal impact and potential risks.
Papers
A Formal Model for Artificial Intelligence Applications in Automation Systems
Marvin Schieseck, Philip Topalis, Lasse Reinpold, Felix Gehlhoff, Alexander Fay
MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs
Irene Siragusa, Salvatore Contino, Massimo La Ciura, Rosario Alicata, Roberto Pirrone