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New York – Sidewalk Labs has presented Delve, a new digital tool for urban planning. This make it easier for urban developers to plan neighborhoods through the application of machine learning.

Delve has been designed to help urban development teams, including architects and planners, as was reported in a press release from Sidewalk Labs, a company of Google parent Alphabet. Delve makes their work easier and at the same time prevents unrealistic expectations. Especially the decisions taken early in the process can have unforeseen impacts later on, the press release explains. By leveraging machine learning, a type of artificial intelligence, development teams get from endless possibilities to the one that is right for them.

Delve discovers the best neighborhood design for a project, based on the priority outcomes that matter most. In this way, it creates an optimal design option, exploring and assessing millions of design possibilities and predicting the respective outcomes.

The team has built a model of core neighborhood components that includes buildings, streets, and energy infrastructure. This model is used as the basis and enhanced with features specific to the neighborhood being planned. As a result, Delve can ensure it draws on comparable real-world engagements to constantly improve the outcomes.

Since introducing the basic version, Sidewalk Labs has refined Delve with additional functions. For example, the highest-performing design options are now even easier to identify and high-fidelity designs have been generated across a range of areas.