Google is using AI to eliminate 100m spam Gmail messages daily

Colourful envelopes on a royal blue background

The American tech giant has declared new protectors have arrived for Gmail powered by its own open-source machine learning framework, TensorFlow.

No doubt most Gmail users will welcome any efforts to eliminate spam, but analyst Holger Mueller of Constellation Research Inc. told SiliconANGLE that Google's real aim was to highlight the ways in which TensorFlow can be used to enhance enterprise's machine learning efforts. The company says it's using some of TensorFlow's capabilities to detect 100 million more spam emails every day. Google's AI framework TensorFlow will be trained to additionally filter Gmail inboxes, the company announced.

"With TensorFlow, we are now blocking around 100 million additional spam messages every day".

Google LLC is beefing up Gmail's anti-spam capabilities with new protections, powered by its machine learning software framework TensorFlow, that are created to complement its existing algorithms.

Gmail has around 1.5bn users, which means that 100m extra spam messages blocked is not as monumental as it sounds.

"At the scale we're operating at, an additional 100 million is not easy to come by", and that "Getting the last bit of incremental spam is increasingly hard, [but] TensorFlow has been great for closing that gap". 'Within Gmail, we're now experimenting TensorFlow in other security-related areas, such as phishing and malware, as part of our continuous efforts to keep users safe, ' Google explains on its blog.

ML makes catching spam possible by helping us identify patterns in large data sets that humans who create the rules might not catch; it makes it easy for us to adapt quickly to ever-changing spam attempts.

With TensorFlow, Google can also better personalize its spam protections for each user. "What one person considers spam another person might consider an important message (think newsletter subscriptions or regular email notifications from an application)", it says. This complete process has been taking place for years where Gmail looks for some particular signals from users on the basis of which it judges the spam.



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