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Parametric Model

What happens when we receive real time feedback on the performance of our designs?  

To investigate this question, we have created a parametric model generating urban designs for an urban block in Vienna, that is backed with a real-time Artificial Intelligence simulation framework.  

Every change of the design triggers real-time performance feedback of important climate simulations such as wind speed, temperature and outdoor thermal comfort levels of the block’s streets and open spaces. We have deployed state-of-the-art deep learning models to predict design performance in Grasshopper for Rhino 6, allowing a seamless integration with the design workflows of built environment professionals.  

This intelligent parametric and simulation framework will allow us to approach a design challenge in a new way, reducing simulation times and thereby fostering collaboration between designers, stakeholders, and consultants. 

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