Key Research
Direction
Direction
Artificial Intelligence Engineering and Systems
AI System Design, Optimization, Validation, and Operations Technology for Large scale Deployment.
Robots and Automation
The Application of AI Driven Intelligent Perception, Decision making, Planning, and Autonomous Control Technologies in the Field of Robotics.
Applied machine learning
Efficient, interpretable, and robust machine learning methods for specific scenarios such as industry, healthcare, finance, and energy.
Digital infrastructure
Computing network, data management, edge computing and network security infrastructure supporting AI large-scale applications.
Ethics and Governance of Artificial Intelligence
The Path and Practice of AI Ethics Framework, Legal Compliance, Risk Assessment, and Responsible Innovation.
Industrial AI application
The landing and transformation practice of AI technology in key industries such as intelligent manufacturing, smart cities, smart energy, and smart transportation.
Why EAIEA was established
The core challenges currently facing the field of artificial intelligence in Europe and the opportunity for the birth of EAIEA
Fragmentation of research
Insufficient engineering orientation
Lack of trustworthy collaboration
Urgent governance needs
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