Tag
NVIDIA and partners worldwide are expanding physical and agentic AI deployments for city services, from resident-service agents and vision agents to digital twins, using Cosmos, Nemotron, Omniverse, and Metropolis across Spain, the US, Poland, and Malaysia.
Cities are canceling contracts with Flock Safety, but the company has been ignoring removal requests and at times reinstalling cameras without authorization. The report highlights disputes in Plymouth and Dayton, Minnesota, as well as a similar case at Elgin Community College in Illinois.
The UK just hosted a major AI day with little attention: NVIDIA pledged $250M in compute for AI safety research with Oxford, UCL and Imperial, while AI deployments accelerate across the NHS, Danaher's AI-run lab, Liverpool's 'City Brain', and UK banks like Lloyds and Starling — highlighting NVIDIA's dominance of the AI stack and the UK's growing role in building it.
欧洲多城市与 NVIDIA 合作，利用加速计算、Cosmos、Nemotron 和 Omniverse 构建物理 AI 智能体与数字孪生，用于城市管理、公共设施运维、交通与能源优化等场景。
The paper introduces a Hegselmann-Krause opinion dynamics approach for coalition formation in federated learning to address data heterogeneity in IoT systems, achieving significant error reduction in water consumption forecasting.
This paper introduces CRAWO, a framework for adaptive workload orchestration of AI pipelines across heterogeneous edge infrastructures. It uses a control-loop model and Kubernetes-based implementation to improve workload distribution and reduce reliance on centralized cloud processing, demonstrated in a vehicle surveillance scenario.
AI agents could revolutionize smart city operations like traffic and energy management, with Dubai investing heavily in such initiatives.
The article envisions a future by 2050 where AI assistants are in every home, education is personalized, medical treatments are advanced, cities are smart, and human-AI collaboration is widespread.
Shenzhen Traffic Police are using drones to enforce traffic rules, suggesting such technology may become widespread in major cities worldwide.
This paper presents an AI-driven framework for energy-efficient environmental monitoring in smart cities using edge intelligence and TinyML, which dynamically activates sensors based on spatiotemporal conditions to reduce energy consumption and extend sensor lifespan.
A robot autonomously parked and docked a Citi Bike in NYC, showcasing AI's ability to interact with the physical world.
This paper investigates using large vision-language models for built environment reasoning tasks, such as design suggestions and risk identification, leveraging remote sensing imagery. It evaluates models like InternVL and Qwen, highlighting their potential for supporting smart city decision-making and quantitative reasoning.
This research introduces the Housing Potential Common Data Model (HPCDM) to integrate diverse datasets for housing analysis and demonstrates its application through a City Digital Twin pilot.