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Posts Tagged ‘ AI ’

Spotify has announced the acquisition of Niland, a machine learning startup based out of Paris. The music company made the announcement itself this week, explaining that Niland shares its ‘passion for surfacing the right content to the right user at the right time.’ Spotify plans to use the company’s technology and know-how to improves its own recommendation abilities, doing so with the power of artificial intelligence behind it.

 

Spotify announced the acquisition on Wednesday, saying that the Niland team will be joining the music company’s own team in its New York office. The terms of the deal weren’t revealed, such as how much Spotify paid for the company or when the deal was finalized. We do know, however, that personalized recommendations on Spotify are about to get much better than to the startup’s work in machine learning and artificial intelligence.

“The innovative approach to AI and machine learning based recommendation systems is a perfect fit for the Spotify team,” the company said in a statement. Spotify aims to implement Niland’s technology to help its users discover new music they want to hear, as well as help the artists on the platform get more exposure to the music lovers who want to listen to them.

When we can expect to see Niland’s technology make its way into the Spotify product wasn’t stated. For its part, Niland posted a long statement announcing the acquisition, saying, “We will keep working on new ways to better understand music to craft better innovative listening and discovery experiences.” You can read the startup’s full announcement here.

 

 

Everyone needs a helping hand sometimes. Enter the Google Assistant, which is conversational, personal and helps you get things done—from telling you about your day to taking a selfie. The Assistant is already available on Pixel, Google Home, Google Allo and Android Wear. Now we’re bringing it to even more people. Starting this week, the Google Assistant is coming to smartphones running Android 7.0 Nougat and Android 6.0 Marshmallow.

Whether you need to know how to say “nice to meet you” in Korean or just a simple reminder to do laundry when you get home, your Assistant can help. With the Google Assistant on Android phones, you have your own personal, helpful Google right in your pocket.

And here are a few other things to try out—just long press on the Home button or say “Ok Google” to get started:

  • What’s my confirmation number for my London flight?
  • Take me to Museu Picasso.
  • Show my photos of sunsets in Tahoe.
  • Do I need an umbrella today?
  • Turn on the living room lights.

The Google Assistant will begin rolling out this week to English users in the U.S., followed by English in Australia, Canada and the United Kingdom, as well as German speakers in Germany. It will continue to add more languages over the coming year.

The Google Assistant will automatically come to eligible Android phones running Nougat and Marshmallow with Google Play Services. You’ll also see the Google Assistant on some newly announced partner devices, including the LG G6.

Three months ago, Google announced it would in early 2017 launch support for high-end graphics processing units (GPUs) for machine learning and other specialized workloads. It’s now early 2017 and, true to its word, Google today officially made GPUs on the Google Cloud Platform available to developers. As expected, these are Nvidia Tesla K80 GPUs, and developers will be able to attach up to eight of these to any custom Compute Engine machine.

 

These new GPU-based virtual machines are available in three Google data centers: us-east1, asia-east1 and europe-west1. Every K80 core features 2,496 of Nvidia’s stream processorswith 12 GB of GDDR5 memory (the K80 board features two cores and 24 GB of RAM).

 

ou can never have too much compute power when you’re running complex simulations or using a deep learning framework like TensorFlow, Torch, MXNet of Caffee. Google is clearly aiming this new feature at developers who regularly need to spin up clusters of high-end machines to power their machine learning frameworks. The new Google Cloud GPUs are integrated with Google’s Cloud Machine Learning service and its various database and storage platforms.

 

 The cost per GPU is $0.70 per hour in the U.S. and $0.77 in the European and Asian data centers. That’s not cheap, but a Tesla K80 accelerator with two cores and 24 GB of Ram will easily set you back a few thousand dollars, too.
 

The announcement comes only a few weeks before Google is scheduled to host its Cloud NEXT conference in San Francisco — where chances are we’ll hear quite a bit more about the company’s plans for making its machine learning services available to even more developers.

music-app

Google has announced a big update to Google Play Music. The update brings machine learning to the table in an effort to figure out what music you like based on what you are doing. The machine learning algorithm takes into account your location, activity, weather and playlists to personalize the music for where you are and what you are doing. The new updates roll out this week on Android, iOS, and the web.

 

The rollout will be global with 62 countries eventually getting the new music features. The update also brings improved music recommendations with contextual tools available that power other Google products. These features are opt-in and those that sign up will get personalized music for where you are and why you are listening. That means if you are relaxing at home, you will get an optimized playlist and if you are at work you will get a playlist customized for that location.

 

The update also makes it easier to get motivational music for your workout at the gym. Play Music has a new home screen that puts your favorite music at the top of the screen. Google says the more the new machine learning algorithms get to know you, the better the music selections will be. The updated app also keeps a playlist for offline listening ready to go. The tunes you listened to recently are packed into an offline playlist ready to go when you lose signal.

 

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Google says that it wants the perfect music to find you with this update. The exact time frame for the rollout of the new features is unknown. The rollout is starting this week, but Google isn’t clear on if the rollout is going on with all 62 countries at the same time.