Posted on Thursday, February 07 2019 @ 11:35 CET by Thomas De Maesschalck
In a new blog article, Google
reveals they're using TensorFlow-based machine learning to block spam on Gmail. The new technology is able to block over 99.9 percent of spam, resulting in a massive 100 million additional spam message that are blocked every day!
Where did we find these 100 million extra spam messages? We’re now blocking spam categories that used to be very hard to detect. Using TensorFlow has helped us block 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.
Given we’re already blocking the majority of spammy emails in Gmail, blocking millions more with precision is a feat. TensorFlow helps us catch the spammers who slip through that less than 0.1 percent, without accidentally blocking messages that are important to users.
