Artificial Intelligence Uses Smartphone Photos From All Over the World to Track Pollution

What if managing city smog were as simple as snapping a photo? Maybe it is. A new project called AirTick is using cellphone snaps to help scientists track air pollution. The project started with a fundamental question: How do we manage good air quality? Photos taken with AirTick’s signature mobile app are analyzed and mined for their meta data (where and when the photo was taken). That information is then checked against official state data about air quality to estimate air pollution. Using a learning machine called the Deep Boltzmann, AirTick’s team hopes that with enough data, the app will be able to build an algorithm strong enough to estimate real-time air quality just using photos.  Source: YouTube China is notorious for air pollution, so much so, its citizens have been known to…


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