Google cuts out more Gmail spam with TensorFlow

Alfred Osborne
February 8, 2019

The company started using the new filters last month and claims that it has managed to block extra 100 million spam messages every day with its help. It was done by employing artificial intelligence (AI) apart from the traditionally used rule-based filters which block out only the most obvious spam.

The platform was launched in 2015 by Google and is an open source framework. Moreover, Google, Intel, SAP, Airbnb, and Qualcomm are the top users of this software.

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.

Google harnesses the power of machine learning to help improve the security of Gmail overall.

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.

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Before implementing TensorFlow-powered protection features, Google's effectiveness in blocking spam, phishing, and malware attempts was pretty great, but now it's essentially flawless.

TensorFlow also provides the flexibility to train and experiment with different models in parallel.

Google has declared the new technology has allowed it to block spam messages that were previously "very hard to detect", meaning users should be seeing less emails that are unwanted.

TensorFlow protections complement Google's machine learning and rule-based protections.

Even though it may seem trivial, as Google tries to eliminate the remaining 0. Machine learning also lets Google personalise its protections to each user. TensorFlow Extended (TFX) is one of these components that allows Google to deploy ML pipelines in a quick and standardized fashion while TensorBoard allows it to monitor model training pipelines and quickly evaluate new models to determine their usefulness. Thanks to TensorFlow, Gmail is now able to block more complex messages, like image-based spam emails, emails with hidden embedded content, and emails from newly created domains that are used to hide low volume of spammy messages within legitimate traffic.

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