Google is making its machine learning system open source

n an effort to get more developers involved and speed up the advancement in technology, Google has made its machine learning AI engine, known as TensorFlow, open source and freely available. Google has been working on machine learning for some time now, it has helped out with a few projects, including the Google Photos app, which automatically detects people and places.
Machine learning was recently implemented with Inbox, Google’s fancy email app that was at one point only downloadable once you received an invite. Machine learning in the Inbox app automatically scans emails in order to write out replies.

In a blog post on the matter (via: Wired), Google’s CEO, Sundar Pichai said: “Just a couple of years ago, you couldn’t talk to the Google app through the noise of a city sidewalk, or read a sign in Russian using Google Translate, or instantly find pictures of your Labradoodle in Google Photos. Our apps just weren’t smart enough. But in a short amount of time they’ve gotten much, much smarter. Now, thanks to machine learning, you can do all those things pretty easily”.
“So we’ve built an entirely new machine learning system, which we call “TensorFlow.” TensorFlow is faster, smarter, and more flexible than our old system, so it can be adapted much more easily to new products and research. Today we’re also open-sourcing TensorFlow. We hope this will let the machine learning community—everyone from academic researchers, to engineers, to hobbyists—exchange ideas much more quickly, through working code rather than just research papers. And that, in turn, will accelerate research on machine learning, in the end making technology work better for everyone.”
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