Gmail's already robust spam filtering features are nearing perfection with machine learning

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Google eliminates more spam from Gmail with TensorFlow

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

Gmail has announced that it is now able to detect 100 million more spam emails every day.

TensorFlow has been added alongside existing Artificial Intelligence (AI) and rule-based filters that Gmail has utilised for years. Nowadays, spam messages are becoming more and more frequent, starting from annoying newsletters and fake job invitations to a Saudi prince being stuck at an airport. TensorFlow is also used by companies such as Intel, Qualcomm and Airbnb. The company stops more than 99.9 percent of spam, phishing, and malware from ending up in Gmail users' inboxes through the use of AI and other protections.

100 million emails might sound like a lot, but when put into context against Gmail's 1.5 billion users, it only works out at one extra blocked spam email per 10 users, according to The Verge. '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.

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Google is blocking the extra 100 million spam emails by identifying categories that used to be hard to detect. The additional spam messages come from sources such as image-based messages, hidden embedded content, and newly created domains that seek to hide low volume spam campaigns behind legitimate traffic. This process has been taking place for years, says Kumaran, with Gmail looking for certain signals from users about what they judge to be spam, but TensorFlow is "turning those signals into better results".

TensorFlow also helps Google personalise spam protection for each user. "But CxOs want to see proof points before adopting technologies, so that's why Google is showcasing its internal uptake of TensorFlow for fighting spam". However, current filtering techniques can block only obvious spam, while the machine learning system will learn from new patterns which hint at spam.

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.

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