– AI for process monitoring, optimization, and control
– AI for condition monitoring, diagnosis, and predictive maintenance
– AI for quality assessment and prediction
– AI for production planning, scheduling, and control of manufacturing systems and value chains
– AI for flexible and precise robotics
– AI for enhanced human-robot collaboration
– AI for the design of manufacturing systems, equipment, processes, and products
– Digital platforms, data spaces, and information technologies for AI applications in manufacturing systems
– Digital Twin to optimize process, equipment, and plant operations
– Data augmentation and synthetic data for developing AI applications
– Education and training for developing skills for AI in manufacturing
– Ethical and legal aspects of AI in manufacturing
– AI for Re/de manufacturing solutions
– Hybridation with physical and AI models
– Explainable AI
– Application of AI through the Manufacturing Value chains
– AI in manufacturing Defence
– AI act in manufacturing practice
– European Technology infrastructures for AI deployment