Google was already using machine learning to power its spam detection capabilities. And the tech company says the existing models, in conjunction with other protections, helped block more than 99. ...

TensorFlow, which Google made open source back in 2015, has been used to improve spam detection for a while, but it's now received broader adoption and a larger set of spam classifications "at ...

TensorFlow helped detect the 0.1 percent of spam messages that slip past filters When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works .

It’s not that Gmail engineers haven’t been leveraging TensorFlow to improve spam detection — far from it. Google noted the team’s migration to the framework in a blog post dated May 2017.

Google has been using AI to train spam filters in Gmail for years, but the company is now also using its in-house machine learning framework called TensorFlow to help. As a result, Google claims ...

Gmail's spam filtering efforts goes back years, as it began blocking an extra 100 million daily spam emails in 2019 using TensorFlow. With RETVec, Google hopes to set a new benchmark in email ...

Google says RETVec is here to save the day: "RETVec is trained to be resilient against character-level manipulations including insertion, deletion, typos, homoglyphs, LEET substitution, and more.

It also makes extensive use of Python scripts, ... 11 thoughts on “ Object Detection, With TensorFlow ” ... This site uses Akismet to reduce spam. Learn how your comment data is processed.