Google was already using machine learning to power its spam detection capabilities. And the tech company says the existing models, in conjunction with other protections, helped block more than 99. ...

It’s not that Gmail engineers haven’t been leveraging TensorFlow to improve spam detection — far from it. Google noted the team’s migration to the framework in a blog post dated May 2017.

100 million emails might sound like a lot, but when put into context against Gmail's 1.5 billion users, it only works out at one extra blocked spam email per 10 users, according to The Verge.