Sidewalk Labs creates machine-learning tool for designing cities - architecture and design

Sidewalk Labs creates machine-learning tool for designing cities



Alphabet subsidiary Sidewalk Labs has launched Delve, a tool that uses artificial intelligence to create "millions of design possibilities" for urban developments in minutes.
Delve creates options based on criteria such as budget, location and size and then ranks them so developers can choose the best design.
The project leverages machine learning, an application of artificial intelligence that uses a base set of data and learns and improves with experience. To create the basis for Delve designs, Sidewalks Labs made a starter model of core components typically used in neighbourhood developments.
Customers can compare hundreds of options created by Delve
"City neighbourhoods have unique personalities, but they also share a lot of the same core components," Sidewalk Labs' director of product management Okalo Ikhena told Dezeen. "Our team has built a model of these core components that includes buildings, open spaces, amenities, streets, and energy infrastructure," Ikhena added.
"By applying machine learning to that model, Delve explores millions of design possibilities for a given project, measuring the impact of these designs to help development teams arrive at the one that's right for them."
Delve ranks designs according to key criteria provided by the user
At the start of the process, customers add project information including the planning input, such as the area dedicated to commercial and residential space; site constraints, such ...
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_MURLDELAFUENTE http://www.dezeen.com/

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