Since then, "teams and researchers all over the world" have produced a whopping 71,000 forks of the public code and other open-source contributions, establishing a strong community that makes it easy to quickly apply "new research and ideas".
It an achievement it calls "a feat", Google claims it now blocks an additional 100 million spam emails every day.
Google has been using AI as well as rule-based email filters for years. Moreover, Google, Intel, SAP, Airbnb, and Qualcomm are the top users of this software.
Google's Gmail is used by 1.5bn people each month with 5m businesses using the service as part of G Suite and one of the biggest draws of the service is its built-in security protections.
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FILE PHOTO - A 3D-printed logo for Twitter is seen in this picture illustration January 26, 2016. Still, in early trading on Thursday morning, Twitter shares ( twtr ) are tumbling.
But that 99.9 percent success isn't good enough for Google, which is why it has designed new protections for Gmail powered by TensorFlow.
Google said the machine learning helps to flag certain trickier suspicious messages, such as "image-based messages, emails with hidden embedded content and messages from newly created domains that try to hide a low volume of spammy messages within legitimate traffic". When you think about it, emails have thousands of potential signals and just because a certain email meets characteristics that could categorise it as "spammy", does not mean it is actually an unwanted email.
"At the scale we're operating at, an additional 100 million is not easy to come by", and that "Getting the last bit of incremental spam is increasingly hard, [but] TensorFlow has been great for closing that gap".
Google says integrating TensorFlow into Gmail will allow it to better personalize spam filters. All in all, TensorFlow allows Gmail to scale its ML efforts, requiring fewer engineers to run more experiments and protect users more effectively. "But CxOs want to see proof points before adopting technologies, so that's why Google is showcasing its internal uptake of TensorFlow for fighting spam".