Build and Test Smart City AI Agents in Digital Twins

The Future of Urban Living: How AI Will Transform Cities

The Role of Physical AI in Urban Development

• By 2050, it is projected that two out of every three people will reside in cities, increasing the demand on urban infrastructure.

• Physical AI has the potential to enhance life for billions by improving city management and services.

• To create effective city-scale AI, developers must simulate real-world conditions and analyze vast amounts of sensor data and camera feeds in real time.

NVIDIA Omniverse Blueprint for Smart City AI

• The NVIDIA Omniverse blueprint integrates digital twins, training, and deployment into a single streamlined process for smart city AI agents.

• Managing traffic congestion requires real-time data analysis and an understanding of complex urban environments through advanced AI systems.

Case Studies in Smart City Implementation

• In Paris, Avis utilizes aerial footage to create a simulated digital twin of the city to better manage traffic flow.

• Milestone Systems generates synthetic video using NVIDIA Cosmos and employs Nemo Curator to refine their datasets for improved accuracy.

• K2K develops customized models that enable AI agents to address specific traffic and safety challenges within urban settings.

Efficiency Gains from the Omniverse Blueprint

• The implementation of the NVIDIA Omniverse blueprint significantly reduces development times by nearly half, facilitating quicker deployment of more AI agents across cities.