Join us in exploring how intelligent edge sensing and distributed cognition are transforming smart worlds

Intelligent edge sensing and distributed cognition are reshaping the architecture of future smart worlds. By enabling real-time perception, processing, and decision-making at the network edge, intelligent sensing technologies reduce latency, enhance privacy, and support context-aware adaptation. At the same time, distributed cognition, defined as the integration of sensing, learning, memory, and reasoning across decentralized systems, provides a powerful framework for creating scalable and resilient intelligent environments. This talk will explore key advances in edge sensing frameworks, lightweight AI models, and associative memory mechanisms that are driving this transformation. Real-world applications in intelligent city transportation, elderly healthcare, and sparse mobile crowdsensing will be presented, highlighting how intelligent edge sensing and distributed cognition enable more responsive, efficient, and human-centric systems. Finally, future directions toward energy-efficient cognitive ecosystems and ethical considerations in distributed intelligence will also be discussed.