Published: Fri, February 08, 2019
Technology | By Lionel Gonzales

Google eliminates more spam from Gmail with TensorFlow

Google eliminates more spam from Gmail with TensorFlow

TensorFlow is an open-source machine learning (ML) framework developed at Google, and was launched in 2015.

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 has been added alongside existing Artificial Intelligence (AI) and rule-based filters that Gmail has utilised for years. "What one person considers spam another person might consider an important message". Moreover, Google, Intel, SAP, Airbnb, and Qualcomm are the top users of this software.

Google was already using machine learning to power its spam detection capabilities. 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. In the context of Gmail's more than 1 billion users, this isn't necessarily a huge gain.

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TensorFlow will now help Gmail users to get rid of emails with hidden embedded content, image-based spam and spam laden messages from newly created domains which getaway through the existing filters by managing to send very few messages within legitimated traffic.

This does not dismiss the achievement of TensorFlow, though, as the blocking of the additional nuisance emails suggests that Google's spam-blocking functionality has been enhanced through machine learning. When you think about it, emails have thousands of potential signals and just because a certain email meets characteristics that could categorise it as "spammy", does not mean it is actually an unwanted email. '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.

Google says integrating TensorFlow into Gmail will allow it to better personalize spam filters.

Even though it may seem trivial, as Google tries to eliminate the remaining 0. "ML allows us to look at all of these signals together to make a determination".

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