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Articles Tagged:

machine learning

45

'Quick, Draw!' is like Draw Something, but with Google's artificial intelligence network

Google has published numerous experiments with its cloud AI technologies, but 'Quick, Draw' is perhaps the most fun one yet. Using the same technology that interprets written symbols in Google Translate, the game attempts to guess what you are drawing. When you start, you are prompted to draw a specific thing, and the game continues making guesses until it wins or time runs out.

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103

Google announces PhotoScan app to digitize your old photos and improved editing tools in Google Photos

Google is big into machine learning, and one of the product areas that's benefiting from that is photography. You may recall Google said it would use math to fix lens flare on the Pixel, and now it's rolling out a photo scanning app that seems to do something similar. The new PhotoScan app will let you turn your old printed photos into digital ones with the power of computational photography. Plus, the editing tools in Photos are getting better. It's weird that PhotoScan isn't just part of Photos, but Google loves multiple apps.

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69

SwiftKey adds neural network predictions to the stable version of its keyboard

SwiftKey released an early experimental version of its neural network-powered keyboard as a standalone alpha app late last year. At the time, we were pretty impressed with the quality of the predictions. Now, the company (which has since been acquired by Microsoft) has updated the main app with new neural network features.

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7

Intel set to acquire Movidius to give sight to machines

In a blog post today, Intel announced its planned acquisition of Movidius, a "vision" chip manufacturer that focuses on low-power hardware and algorithms to give machines sight. Having seen a market for its technology at its founding, Movidius set out to develop its own processing architecture to tackle large workloads and image processing while keeping expenditure low. This eventually became the company's Vision Processing Units (VPU), which allow for tracking, navigation, and mapping all while sipping at power. Because of the success in its endeavors, the company was able to partner with some big names in the tech space, including Google and its Project Tango.

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23

Google introduces Bubble Zoom preview for an easier comic book reading experience in Play Books [APK Download]

Do you read comic books from the Play Store? If not, you might want to start. Google just announced a great new feature at San Diego Comic-Con 2016 that changes the experience of reading comic books. It's called Bubble Zoom and it quite literally makes speech bubbles leap off the page. Each blob of text is identified and sequentially pops up with the press of a volume button or a tap at the bottom-right of the screen. Check out Google's introduction video:

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26

Google Open Sources Its TensorFlow Machine Learning Engine

Many of Google's most important products reply upon making computers behave more like people. Whether you're talking about speech recognition or the new Smart Reply feature of Inbox, you need a machine to understand abstract concepts. Google makes this happen with a machine learning system called TensorFlow, and today the company has decided to open source this platform so anyone around the world can use it for research and product development.

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64

[Hands-On] Swiftkey Neural Alpha - A Greenhouse Experiment That Works Pretty Well

Every once in a while, we get a sneak peek into the new technology that companies are creating that will ultimately make something better, faster, or [adjective here]. Swiftkey recently launched the latest project from Swiftkey Greenhouse: Swiftkey Neural Alpha. This is the first keyboard on a smartphone that uses artificial neural networks to fix mistakes and predict words. Swiftkey currently utilizes n-gram technology to do this by looking for patterns and common phrases.

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Neural Network Clusters

While n-gram technology does use context to create predictions, this new neural network-based engine goes one step further toward truly understanding what you mean. Swiftkey's blog post has a full rundown of how the technology works, and there are many videos explaining neural networks and machine learning.

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