SMS spam detection and filtering is a crucial area of research addressing both the nuisance and potential harm posed by unsolicited messages on mobile networks. As SMS remains a fundamental channel ...

The digital landscape is evolving at a rapid pace, and with it comes a new wave of challenges. A recent study suggests that, ...

The telecom operator’s latest initiative leverages both AI and machine learning (ML) technologies to provide real-time, network-based detection of unsolicited and potentially harmful messages.

“As more customers embrace digital communication, we recognise the growing threat posed by SMS-based spams and potential scam attempts. Our AI-powered spam detection technology reinforces our ...

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.

Google is using its machine learning platform, TensorFlow, to eke out additional gains Google is using its machine learning platform, TensorFlow, to eke out additional gains ...

Google today said that its machine learning models can now detect spam and phishing messages with 99.9 percent accuracy. While this still means that one out of a thousand messages gets through (so ...