gmail. A very important announcement was made by the Google company for the hundreds of millions of users who use it daily email platform, and I don't know what is happening in the servers of the American company. According to the data provided by Google, no less than several hundred million spam messages are blocked daily by Gmail using artificial intelligence systems, so that they no longer reach the inboxes of people all over the world.
gmail. Along with last week's interface update, Google has also changed the warning messages it displays for users when they receive spam messages from other accounts. Google claims to block up to 99.9% of spam messages that arrive in Gmail every day, and uses a platform called TensorFlow to block another 100 million spam messages every day, which is truly amazing.
Gmail blocks hundreds of millions of spam messages every day
gmail. This special platform was created by Google to achieve 100% effectiveness in blocking spam messages received through the email platform every day. Moreover, Gmail has implemented new options to customize the way in which spam messages are blocked for each individual user, artificial intelligence being also used for this very useful functionality.
ML-based protections help us make granular decisions based on many different factors. Just because some of an email's characteristics match up to those commonly considered "spammy," doesn't necessarily mean it's spam. ML allows us to look at all of these signals together to make a determination. TensorFlow also gives us the ability to easily train and experiment with different models in parallel to develop the most effective approach, instead of running one experiment at a time.
gmail. For those at Google, it is extremely important to keep the spam phenomenon under control, because in many cases hackers also use messages to steal money from naive people. Those at Google have been fighting for several years with the spam that exists within Gmail, and now they are approaching 100% effectiveness in terms of protecting users, so it remains to be seen if they will have to modify their systems to maintain this pace.