Response: Saving you bandwidth on Google+ through machine learning
Image compression reduces network requirements in a major way.
- Smaller files means less bandwidth
- Less round trips for faster page rendering
- reduces load on network function like proxies, IDS, etc.
And its already in production for Android devices using Google services.
To help everyone be able to see the beautiful photos that photographers share to Google+ in their full glory, we’ve turned to machine learning and a new technology called RAISR. RAISR, which was introduced in November, uses machine learning to produce great quality versions of low-resolution images, allowing you to see beautiful photos as the photographers intended them to be seen. By using RAISR to display some of the large images on Google+, we’ve been able to use up to 75 percent less bandwidth per image we’ve applied it to.
Saving you bandwidth on Google+ through machine learning
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Reuters reports that the deal could be worth as much as $1B.
I (mostly) build all the content for ‘net Work on Saturday mornings. Sometimes it slips to Sunday or Monday, depending on what is going on, but I normally spend no more than about 2 to 3 hours a week on keeping this blog up and running, including normal maintenance. There are times when I spend much more—for instance, if I’m switching platforms, or switching themes. There are other times when I need to spend time in code, or researching something specific, for a blog post (or a set of posts), but
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