Explore the emerging frontier of decentralised artificial intelligence with expert Eiman Kanjo. While AI is commonly associated with massive data centres and cloud-based infrastructure, a parallel revolution is underway: smaller, more localised systems that operate directly within the physical world.
This talk examines embedded and sensor-driven AI technologies that run on optimised hardware with specialist adaptive models. These decentralised systems sense, learn and adapt continuously to their surroundings while consuming less energy and reducing dependence on distant cloud services—from autonomous drones to wearable devices for personal health monitoring.
Discover how AI can be designed to enhance rather than displace human capability. The discussion covers privacy-conscious sensing approaches, collaborative robotic systems, and how tiny AI could foster safer, more intelligent and more responsive environments where trust and human agency remain central to the technology's design and deployment.
