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    Software-defined vehicles, Google and Renault collaborate to compete with Tesla

    Virtual testing capability for new AI-enabled features is planned too

    Google and the Renault Group are working on a “software-defined vehicle” that will use Google’s Android Automotive operating system as a foundation to help send data to the company’s cloud servers for processing, the companies announced.

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    ALSO READ: The Tesla reality struggle in Africa

    Other automakers are also developing software-defined vehicles as they rush to compete with Tesla, which has come to define what customers expect from their vehicle’s software.

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    The collaboration only applies to the French automaker’s four brands, Renault, Dacia, Alpine, and Mobilize. Renault says it is appointing Google as its “preferred cloud provider.” (Other automakers have gone with Amazon Web Services.)

    In 2018, RenSoftware-defined vehicles, Google and Renaultault struck a deal with Google as part of a broader partnership between the tech giant and the Renault-Nissan-Mitsubishi Alliance, which collectively is one of the largest auto groups in the world. As part of the deal, the Alliance announced that it would adopt Google’s native car operating system, which offers built-in Assistant, Maps, and Play Store. 

    Today’s announcement will mean Google and Renault will work together to create a “Digital Twin,” or a virtual carbon copy of a vehicle that features advanced artificial intelligence capabilities “for an easier and continuous integration of new services into the vehicle and the creation of new onboard (In-Car Services) and offboard applications,” the companies announced.

    Google and Renault claim that collaborating on software and testing out new AI capabilities in a virtual simulation will help improve the vehicle’s operations through improved, real-time diagnostics. The car will tell the driver when it’s in need of maintenance or even rectify the problem itself. In addition, vehicle owners will get to create a personalized experience that includes driving behavior, frequently visited destinations, and EV charging locations. And insurance models can be built using real data from the car itself.

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