Springer Nature
DCAI 2024 serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. Given the conference's success, this edition features twelve special sessions covering a wide range of topics related to AI and other areas of interest. These sessions were carefully curated to address the latest advancements and challenges in fields such as machine learning, neural networks, IoT, big data, and blockchain, among others. The accepted papers from these sessions are presented in two volumes, showcasing the diverse and innovative research being conducted in these domains. This is the first volume, which includes the sessions: Advanced AI-based Data Annotation Tools (AI-DAT), Digital Heritage Contents (DHC), female technopreneurs and early career researchers in distributed computing and AI organised by the Gendered Innovation Living Labs (GILL), New perspectives and solutions in Cultural…