will use the infrastructure that its investor designed for the company to process massive amounts of data as it develops machine-learning-based models for self-driving .

Technology News

British Wayve said on Wednesday it would use supercomputer infrastructure designed for the company by its investor to process massive amounts of data as it develops a of self-driving cars based on machine learning.

Wayve’s technology relies on machine learning using camera sensors mounted on the vehicle’s exterior, with the system learning from traffic patterns and the behavior of other drivers, rather than the traditional method of relying on detailed digital maps and coding to tell the vehicle how to operate.

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is delivering supercomputing power,” Wayve CEO Alex Kendall told Reuters. “We want to do things beyond what is with today’s commercial cloud offerings.”

Kendall said Microsoft will be able to process the terabytes of data that Wayve’s cars generate every minute — 1 terabyte, or the equivalent of about an hour of consumer video.

will help the startup scale up its self-driving technology, partnering with British online grocery technology company Ocado and supermarket chain Asda to conduct trials on last-mile delivery vehicles.

These grocery delivery trials will begin year with a personal safety operator.

“We see as a commercial fleet product,” he said. “That’s how we think autonomy comes to market in the place.”

Earlier year, Microsoft participated in the London-based startup’s $200 million B funding round.

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( story was unedited by NDTV staff and was automatically generated from the syndicated feed.)

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