Designing a car is a time consuming and costly process. Now two researchers at University of Yale and Northwestern University, have developed a machine-learning model that can reduce the time and cost involved in vehicle design process. The model they developed has two components, one that could empower designers to more nimbly experiment with new design concepts, and one that could help marketers choose where to focus their efforts. It uses algorithms to predict how a human focus group would rate a given design, allowing designers to eliminate the less viable concepts. The algorithm can also help designers creatively explore the space of possible designs.

Image courtesy: Pixabay.com

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