Google Play Music Serves Up Tunes With Machine Learning

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Google Play Music is getting a makeover. Music lovers can now tap into "richer" recommendations, as well as a fresh user interface and offline playlists.

Using machine learning, Play Music will now create a unique experience based on individual listeners' taste, location, and activity—even the current weather. "We'll deliver personalized music based on where you are and why you're listening," Play Music product manager Elias Roman wrote in a blog post.

"Relaxing at home, powering through at work, commuting, flying, exploring new cities, heading out on the town, and everything in between," he said. "Your workout music is front and center as you walk into the gym, a sunset soundtracks appears just as the sky goes pink, and tunes for focusing turn up at the library."

Meanwhile, subscribers will also have access to music, even when there's no service. "As long as you remember to charge your phone, you'll have your favorite tunes, even if you forgot to download them ahead of time," Roman wrote.

Users will also notice a new look: The revamped Google Play Music home screen features features favorite playlists, latest releases, and more tunes from popular artists—at the right time and place for you.

The new experience is rolling out now to Android, iOS, and Web subscribers in 62 countries. If you're not already enrolled, try free unlimited access for 30 days; individual plans are $9.99 per month, while up to six people can share a family plan for $14.99 per month.

Google in July 2014 acquired streaming music service Songza, whose proprietary algorithms prompt users to play music for a specific time of day, activity, or mood. Co-founded by Roman nearly a decade ago, the Internet radio program officially shuttered in January as the company merged into Google Music.

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