Trustworthy AI – Development of reliable methods and models in machine learning (ML), computer vision, robotics, natural language processing, and explainable AI.
Intelligent and Autonomous Systems – Autonomous and connected mobility, assistive and social intelligent robots, autonomous navigation, and intelligent control systems.
Intelligent Human–Computer Interfaces – Interaction systems capable of understanding written and spoken natural language, intelligent multimodal interfaces, and AI technologies operating at the intersection of the physical and virtual worlds.
AI Hardware Technologies – Energy-efficient AI models and smart sensor networks.
AI in Medicine and Healthcare – Medical imaging, diagnostics, preventive and personalized medicine, and technologies for active and assisted living.
AI in Cybersecurity and Space – Intelligent applications for cybersecurity and space surveillance.
AI for Smart Cities – Intelligent energy efficiency, integrated solutions for smart urban environments, and technologies promoting healthy living.
AI for the Environment – Smart solutions for climate change monitoring, emergency detection and prevention, and satellite and drone image analysis.
Development and Testing of AI Prototypes and Systems – Creation of functional pilot projects, application across diverse use cases, and testing and validation of AI systems and services.
