A British Self driving startup Wayve, announced on Wednesday that it will analyze massive volumes of data as it builds machine learning-based models for self-driving vehicles using supercomputer infrastructure created for the company by its backer Microsoft.

Instead of relying on detailed digital maps and code to inform vehicles how to function, Wayve’s technology focuses on machine learning using video sensors mounted on the exterior of the vehicle, where the system learns from traffic patterns and the behavior of other drivers.

Wayve CEO Alex Kendall told Reuters, “Microsoft is giving supercomputing muscle.” “What we want to achieve goes beyond what is currently achievable for commercial cloud providers.”

Kendall claims that Microsoft will be able to process the terabyte of data generated by Wayve’s automobiles per minute – 1 trillion bytes, or almost an hour of consumer film.

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This will enable the business to scale up its self-driving technology for trials on last-mile delivery trucks with UK online grocery technology company Ocado and supermarket chain Asda.

The trials for grocery delivery will begin this year, with a human safety operator on board.

“We view this as a commercial fleet service,” he explained. “That is how we believe autonomy will initially enter the market.”

Microsoft invested in the London-based startup’s $200 million Series B fundraising round earlier this year.

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