How Google saves data bandwidth with machine learning

Photographers of all specialities, skills and genres have long made their home on Google+, sharing their work with a supportive community. Whether it’s of toys, travel or street art, each photo has a unique story to tell, and deserves to be viewed at the best possible resolution. Traditionally, viewing images at high resolution has also meant using lots of bandwidth, leading to slower loading speeds and higher data costs. For many folks, especially those where data is pricey or the internet is spotty, this is a significant concern. To help everyone be able to see the photos that photographers share to Google+ in their full glory, Google has turned to machine learning and a new technology called RAISR. RAISR, which was introduced in November, uses machine learning to produce great…


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