The symposium “Innovative Devices and Systems for Embedded AI” will bring together leading experts from academia and industry to discuss cutting-edge developments at the intersection of nanotechnologies, electronics, and artificial intelligence. With the rapid growth of intelligent and connected systems, the integration o f AI directly into embedded platforms has become a key enabler for applications where latency, power efficiency, and autonomy are critical.

The symposium will explore novel concepts and architectures that make local, efficient, and scalable AI possible-from neuromorphic and in-memory computing solutions, to energy-aware microcontrollers, to system-level co-design approaches thattightly integrate sensing, computing, and communication.
Special attention will be given to:
• Emerging hardware paradigms for real-time, on-device inference and learning;
• Architectures for adaptive and continual learning at the edge;
• AI-ready embedded systems for robotics, smart environments, industry 4.0, and spaceor mobility applications;

The symposium aims to foster interdisciplinary dialogue, showcasing how innovationsat the device and system level can empower the next wave of autonomous, intelligent, and sustainable technologies.