Google is working on self healing maps thanks to artificial intelligence
Zoom in on the Google Maps App On Your Phone, and Eventually the shapes of Buildings will come into view. You can thank artificial intelligence for helping to create scenes like that one and that's not all Al is doing for the app. Over recent years, the company has turned more to machine learning to automatically keep tabs on the world's changing geography and then update how that's reflected photographically.
If fact. Google hit an inflection point around 2015 when it realized it had to change its strategy for keeping their maps updated, according to two Google Maps staffers who spoke exclusively with popular science. Andrew Looking Bill, the director of engineering for Google Maps, describes the moment as an ""epiphany."
Keeping maps updated in over 200 countries is hard-so the team had to pivot from just making maps to something more meta. "We needed to start making the machine that makes the map: Looking bill explains.
The way this is happening is through machine learning algorithms that are good enough to take imagery - like the pictures produced by those street view cars, or from satellites extract the information they need from them, and then update the map. That information is likely data such as the name of a road a house number or the shape of a building seen from above. Google has boasted about this topic before: a 2017 blog post describes their efforts creating an algorithm that can read street names in France and mentions that algorithms like that could update addresses on the map.
If fact. Google hit an inflection point around 2015 when it realized it had to change its strategy for keeping their maps updated, according to two Google Maps staffers who spoke exclusively with popular science. Andrew Looking Bill, the director of engineering for Google Maps, describes the moment as an ""epiphany."
Keeping maps updated in over 200 countries is hard-so the team had to pivot from just making maps to something more meta. "We needed to start making the machine that makes the map: Looking bill explains.
The way this is happening is through machine learning algorithms that are good enough to take imagery - like the pictures produced by those street view cars, or from satellites extract the information they need from them, and then update the map. That information is likely data such as the name of a road a house number or the shape of a building seen from above. Google has boasted about this topic before: a 2017 blog post describes their efforts creating an algorithm that can read street names in France and mentions that algorithms like that could update addresses on the map.
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