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UF and NVIDIA Create AI-Driven Digital Twin of Jacksonville for City Planning

a large brick building with many windows and a sign in front of it
a large brick building with many windows and a sign in front of it

The University of Florida is building a digital twin of Jacksonville, one of the state’s most popular cities. The initiative will use artificial intelligence alongside digital twins to create a virtual city replica.

The university is partnering with NVIDIA for the project, utilizing the company’s AI technology and big data. Named virtual Jacksonville, the digital twin will be used to test land use and simulate climate scenarios. Similarly, the twin will aid city planners in their decisions and enable stakeholders to examine the impact of infrastructure investments on the city populace.

Christine Angelini, Ph.D., UF Center for Coastal Solutions, will lead the virtual Jacksonville project. The project aims to safeguard and preserve the city by managing its increasing population and aging infrastructure while mitigating potential environmental disasters. 

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Consequently, digital twins can significantly impact city planning and development as our cities, towns, and neighborhoods get increasingly worn with age. Specifically, the environmental use case of simulating potential ecological disasters and their impact is becoming a critical use case for stakeholders to employ. For more information on the effects of digital twins on the climate technology sector, check out one of our latest features on the topic. 

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

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What: GenMat Webinar

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Jake Vikoren

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Deep Prasad

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Araceli Venegas

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Jack Boreham

Jack Boreham is the editorial director and account executive at the Digital Twin Insider: the leading digital twin publication globally. Jack has been at the forefront of the platform's growth as a digital twin specialist - writing and advising projects in the Digital Twin space for over two years. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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