So I would expect, especially in a RankBrain world, Google will be making spam detection and search quality more machine learning based in the near future.

Research from all publishers Recent studies have highlighted the dynamic nature of spam on social networks, exploring both feature extraction techniques and advanced machine learning models.

It will use machine learning to protect users against harmful emails. Google now classifies spam, malware and ransomware by identifying sender signatures and signals to root out prospective threats.

The three steps to better bot detection using AI and machine learning include analyzing all available data in the Identity Trust Global Network, using AI and machine learning to detect suspicious ...

Using machine learning, 95% of spam mails failed to reach their targets, says Trend Micro.

Google is taking help of in-house machine learning system TensorFlow to filter spam on Gmail. The company released the machine learning framework under the Apache 2.0 license three years ago. The ...

From Gmail's earliest days, Google been using machine learning to improve its spam filter, relying on its 900 million users to flag up unwanted messages through the services "report spam" and "not ...

Spam, like everything else, evolves and we turned again to machine learning backed by quality datasets,” explains Indi Siriniwasa, Vice President of Trend Micro, Sub-Saharan Africa.