Google uses AI to help tackle SPAM.
From a Google Cloud blog post published in February, Google announced that it has been experimenting with an A.I. platform to enhance its spam-blocking efforts with encouraging results.
The platform, called TensorFlow, was developed by Google and is “an open-source machine learning (ML) framework.” (ML is a form of artificial intelligence that involves programming machines or programs to carry out tasks relatively independently, by relying on the analysis of data to make their own decisions about how and when to complete such tasks.) While the platform may sound like a new innovation, TensorFlow was actually launched and open-sourced in 2015.
According to Google, TensorFlow is allowing the company to block 100 million additional spam messages from reaching Gmail users on a daily basis.
This is in addition to the 99.9 percent of spam Google already claims Gmail blocks.TensorFlow is better able to detect the trickier type os spam; mail from newly created domains, image-based messages, and messages with hidden embedded content e.g. tracking pixels.100 million spam messages per day sounds like a whole heap of spam, but as The Verge points out, comparatively, blocking 100 million spam emails isn’t really much at all when according to Google’s own estimation, there are 1.5 billion current Gmail users.100 million messages over 1.5 billion users really only gets you roughly “one extra blocked spam email per 10 users.”
However, being able to block an additional 100 million messages is still significant, as it suggests that the ML behind TensorFlow helped enhanced Gmail’s spam-blocking functionality as it worked in tandem with Gmail’s rule-based filters.