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Google Chrome Machine Learning On Device Blocks Noisy Notifications

Google Chrome has a built-in phishing detection feature that scans pages to determine if they match known fake or malicious sites (using more than just a URL as scammers are changing them faster than it can keep up and now this technology is becoming  better now). Google also says that in Chrome 102 it will use machine learning that runs entirely in the browser (without sending data back to Google or anywhere else) to help identify websites that request permission to receive notifications and disable them until  how they appear.

As Google explains, “To further improve the web experience, we are also evolving how people interact with web notifications. On the one hand, page notifications help deliver updates from sites you’re interested in;  on the other hand, permission requests for notification can be a hindrance. To help people browse the web with minimal interruption, Chrome predicts when permission requests are unlikely to be granted and disables those requests. In the next release of Chrome, we’re running a machine learning model that makes these predictions exclusively on the device.”

In a future version, Google plans to use the same technology to customize the Chrome toolbar in real time, displaying various buttons, such as share icons or voice search, at the times and places you’re likely to use them, without  adding additional phone tracking.  house. And if you prefer to select buttons manually, that will work too.

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