Countless spreads every day spamming the internet. Messaging services have made significant strides over the years in filtering out these spam messages as much as possible. Specifically, Google claims to have a 99.99% success rate for filtering out Gmail spam. 0.01% is still a significant figure given the large volume of spam sent daily.
Some smart emails are extremely difficult to filter without running the risk of viewing legitimate messages as spam, with potentially harmful consequences for users. But thanks to advances in artificial intelligence, an additional 100 million spam messages are filtered out. Gmail can we read in final report From the Google Cloud team.
Gmail: The fight against spam becomes even more effective with the TensFlow tool
Blocking 100 million additional spam messages sounds impressive, but it’s not that big when you consider that Gmail has around 1.5 billion active users. That’s about 1 extra spam blocked for every 10 Gmail users, as The Verge notes. That doesn’t take away from TensFlow’s value.
Google explains that machine learning can identify specific spam that are particularly difficult to filter. Among them are messages ” based on hidden content or images containing incoming messages names newly created domains trying to hide low volume spam in legal content stream “.
With the help of machine learning, Google can identify spam patterns in a huge dataset that the engineers who create the rules will never be able to successfully enforce. It has to be said that spam has thousands of potential signals that human-defined criteria will have a hard time keeping track of.
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