Google Chrome aims at becoming smarter and more efficient in its results, by using advanced Machine Learning. With the main objective of making its Chrome browser more useful - and providing users with secure and adapted browsing - Google is incorporating new features that the company claims, will make the search engine much more intelligent.
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To this end, Google will continue to make progress in the implementation of machine learning. Some of the new features that have been announced in this regard are:
Through Chrome's Safe Browsing feature, Google has reported that it is now able to identify 2.5 times more sites that are potentially malicious. This is thanks to a machine learning model that protects users more.
On the other hand, after a year of testing, Google Chrome's adaptive button has finally been made official. It is a button that will use machine learning to adjust the navigation toolbar in real time. This will allow users to be shown the action that is most useful at each moment of their search.
Whether the user wants to do a voice search, open a new tab or share a link, Chrome will be able to learn which option each user uses most at each moment of the day, adapting to their habits and then offering customized adjustments.
The button will be available to users soon. However, in a short time, each user will be capable of activating it manually using Chrome's experimental functions.
Finally, Google has also announced that in the next version of Chrome, notification permission requests will be much less annoying, to make browsing more convenient for users.
Through machine learning, Chrome will be able to predict when it might be interesting for a person to be prompted by an app to receive notifications. This takes into account how the user has previously acted in response to such requests.
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