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Here's how Google uses machine learning to improve Chrome

Here’s how Google uses machine learning to improve Chrome

Google shared some ways on Thursday Uses machine learning Improving the Chrome browser, including reducing the number of annoying notifications that appear.

All of the latest updates are powered by machine learning models on the device, so user data does not have to leave the device.

For a less hassle-free web browsing experience, Google uses machine learning to determine when a user might want to communicate with a notification permission request. In the next version of Chrome, the browser will use the template on the device to predict how someone will respond to a request for permission. If the user is likely to dismiss it, the browser will silence it. The prediction is based on how the user has previously responded to similar permission requests.

Security and Toolbar

Google also reported in March that it had used the Machine Learning (ML) model to improve this feature. Chrome Safe BrowsingIt shows warnings when people browse dangerous sites or try to download dangerous files.

The new ML model for this feature identifies 2.5 times more malicious sites and phishing attacks than the previous model.

Google uses this template to create Dynamic Chrome Toolbar and have real-time dynamic tools based on your needs. For example, if you are in a situation where you want to use the touch screen to share the link, the share icon will be on the toolbar. If you are more likely to use voice search in Chrome, the toolbar will highlight the voice search tool. The toolbar is still manually customizable.

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