Sci-tech

Gmail Now Uses TensorFlow to Detect 100 Million More Spam Emails

Gmail Now Uses TensorFlow to Detect 100 Million More Spam Emails”

However, by implementing new protections powered by Google's open-source machine learning framework TensorFlow, the search giant has succeeded at blocking an additional 100m spam messages each day.

TensorFlow also helps Gmail provided more personalised spam detection - for example, if an email is considered spam by one person, it doesn't mean it will be considered spam on your inbox, so Gmail make sure to deal with that appropriately.

In fact, the firm has insisted it now blocks 99.9 percent of "spam, phishing, and malware from reaching Gmail inboxes" at the moment.

Google has been using AI as well as rule-based email filters for years.

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. "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. The company has now taken help of in-house machine learning system.

Admirers of this ML framework are impressed by its ability to seamlessly merge with Google's other AI services, besides being appreciative of its flexibility and capacity to scale.

What kind of additional spam messages did Google now get better at deflecting?

This is where TensorFlow will help catch the spammers who slip through, without accidentally blocking messages that are important to users. By using TensorFlow to scan incoming emails, the company is now able to block image-based messages, emails with hidden embedded content and messages from new domains trying to hide a low volume of spam within legitimate traffic. But with TensorFlow, Gmail can now look out for user signals to train their servers to learn what appears to be spam for each of them out there.



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