hiw3c 日报精选
IEEE Spectrum AI 网页快照

边缘AI在智慧城市中的应用:从洞察到认知行动

原文标题 · Edge AI for Smart Cities: From Insight to Cognitive Action

这份白皮书阐述了边缘AI和物理AI如何帮助城市摆脱单纯的被动监控模式。它展示了城市基础设施如何能够实时感知、分析数据,并据此采取行动,涉及公共安全、交通管理以及基础设施维护等方面。您将了解到:从智慧城市向认知型城市的转变,依赖于能够进行分析和决策的基础设施,而不是仅仅负责监控的基础设施。边缘AI为何能支持低延迟的决策过程,如何将敏感数据控制在城市内部,以及如何减少对集中式云基础设施的依赖。此外,该

来源:IEEE Spectrum AI · content.knowledgehub.wiley.com

正文为英文,可一键机器翻译(仅首次需要等待)

LOG IN

Not registered yet? Click here to register now.

HUB REGISTRATION

Already registered? Click here to log in to the hub.

Download this complimentary White Paper today!

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.

How the shift from smart cities to cognitive cities depends on infrastructure that reasons and acts, rather than infrastructure that only monitors.

Why edge AI supports low-latency decisions, keeps sensitive data within city boundaries, and reduces dependency on centralized cloud infrastructure.

How computer vision, multimodal sensing, and generative and agentic systems work together to support public safety, mobility, and infrastructure applications.

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.

Click ‘LOOK INSIDE’ to Download the PDF Now.

IEEE Spectrum and Wiley are proud to bring you this white paper, sponsored by Intel.

More Information

Smart city deployments have historically relied on cameras, sensors, and dashboards that capture data without delivering timely insight. Edge AI changes this by letting inference happen close to where data is generated. This supports faster decisions, stronger data sovereignty, and lower operating costs than cloud-only designs. This guide traces the progression from automation and perception to prediction, agentic coordination, and physical AI, where urban systems continuously perceive conditions, reason about them, and act within a tiered edge architecture spanning far-edge sensors, regional infrastructure, and the cloud. It also outlines the durability, security, and interoperability requirements that production-grade edge hardware and software must meet to support public safety, mobility, and infrastructure use cases at city scale.

Access

First register your details to create a user profile for the hub, then login to access all content within the hub.

Already registered? Click here to log in to the hub.

IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas.

More Content from this Partner

White Paper Fast RF Device Testing with Analog Sources: A Practical Guide to Amplifier and Receiver Characterization

White Paper Learning to Play Like a Pro: Adaptive Motion Planning and Tracking for Humanoid Robots

White Paper HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction

1. Same tier 3 topics + same partner [3],