Machine learning for Google Photos elevates, Suggested Sharing and Shared Libraries are live

Two new features for Google Photos that were announced in May are rolling out now.

The year for Google, and likely the next couple of years anyway, will be about machine learning. Many of its products and services are beginning to use¬†artificial intelligence as a way to help you improve your life. When you do one thing, Google learns and tries to predict what the next will be with better results built over time. It’s at the core of Google Assistant, and the rest of what you see from the company is starting to leverage that.

Suggested Sharing and Shared Libraries, which debuted at I/O 2017, bring even more machine learning capabilities to Google’s media storage and sharing platform.

The names of the new features explain what they’re about, but we’re going to cover them again for you.

You can head over to the Sharing tab where you’ll see the pictures and videos you’ve sent to other people. Google Photos recommends what you should share and with who. Machine learning works to analyze the shots and the people (and even things) in them. Once they’ve been collected, you’ll get multiple cards that can be shared right away or edited beforehand. Suggested Sharing lets you immediately send them via email or phone number to recommended contacts.

With Shared Libraries, you get a running library with another person. Both people can constantly add pictures and videos for the other to see. Selections can be an entire personal library or just content showing a specific person, place, event, or thing. If you’d like, you can take something from a shared library for your own library.

Google says Suggested Sharing and Shared Libraries are ready for users on Android, iOS, and web.

Download it now: Google Play

Source: Google

About the Author: Justin Herrick

Born and raised in New Jersey, Justin is a graduate of Fairleigh Dickinson University where he studied marketing with a focus on digital marketing. He's very talkative and enjoys discussing anything from technology and sports to video games and television. As for Justin's current device rotation, he carries around the Google Pixel and Nexus 9. In the rare case that his phone or tablet is not in his hand, he is either flicking through cards on his Moto 360 (2015) or typing away on the Microsoft Surface Book. Justin is patiently waiting for the day that Google replicates the Galaxy Nexus with modern day specifications.