Reference Architecture

Reference architectures provide standardized blueprints for designing complex systems, currently focusing on areas like knowledge engineering, responsible AI, and federated learning. Research emphasizes modularity and pattern-oriented design to address challenges such as stakeholder requirements, ethical considerations, and scalability across diverse applications, including smart buildings and manufacturing. These architectures aim to improve the efficiency, reliability, and explainability of AI systems, fostering collaboration and accelerating innovation within the scientific community and across various industries.