Edge AI for Smart Cities: From Insight to Cognitive Action

<img src="https://spectrum.ieee.org/media-library/black-intel-wordmark-logo-on-transparent-checkerboard-background.png?id=68424848&width=980"/><br/><br/><p>This white paper explains how edge AI and physical AI help cities move beyond passive monitoring. It shows how urban infrastructure can sense, reason, and act on real-time conditions across public safety, mobility, and infrastructure management.</p><p><strong>What you will learn about: </strong></p><ul><li>How the shift from smart cities to cognitive cities depends on infrastructure that reasons and acts, rather than infrastructure that only monitors.</li><li>Why edge AI supports low-latency decisions, keeps sensitive data within city boundaries, and reduces dependency on centralized cloud infrastructure.</li><li>How computer vision, multimodal sensing, and generative and agentic systems work together to support public safety, mobility, and infrastructure applications.</li><li>How a tiered edge architecture assigns monitoring, planning, and action tasks across the far edge, regional, and cloud layers, and what durability, security, and interoperability requirements this places on hardware and software.</li></ul><div><a href="https://content.knowledgehub.wiley.com/edge-ai-for-smart-cities-from-real-time-insights-to-cognitive-urban-systems/?utm_source=IEEE" target="_blank">Download this free whitepaper now!</a></div> Reference: https://ift.tt/MQqT7Ni