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Money How Google is powering its next-generation AI

15:55  19 june  2017
15:55  19 june  2017 Source:   t3.com

Google reveals when it'll stop supporting Pixel and Nexus phones

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Home Tech & Science How Google is powering its - generation AI . Next articleDid you see the OnePlus 5 early reveal live on TV?

By David Nield 2017-06-19T09:00:02.169Z. If you paid any attention to Google 's big developer conference earlier this year then you'll know artificial intelligence is about to get big - really big. It ' s already powering most of Google 's apps, one way or another

Courtesy of T3: T3 image© Courtesy of T3 T3 image If you paid any attention to Google's big developer conference earlier this year then you'll know artificial intelligence is about to get big - really big. It's already powering most of Google's apps, one way or another, and the other giants in tech are scrambling to keep up.

So what's all the fuss about? Here we're going to dig deeper into some of the AI announcements Google shared at I/O 2017, and explain how they're going to change the way you interact with your gadgets - from your smartphone to your music speakers.

The basics of AI

  How Google is powering its next-generation AI © Provided by Future Publishing Ltd.

In broad terms artificial intelligence (usually) refers to a piece of software or a machine that simulates smart, human-like intelligence - even if it's just a hollow robot being operated by a person behind a curtain, pretending to respond to your commands, that's still a kind of AI.

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Google also uses the computation power of TPUs every time someone enters a query into its search engine. More recently, the technology has been Google I/O 2017: highlights from the developer conference. How about an Android Pro? Google ’s next - generation AI training system is monstrously

Google 's Cloud TPU already powers the current and expanding AI ecosystem. But how does it work? Google unveiled its second- generation TPU at Google I/O earlier this year, offering increased performance and better scaling for larger clusters.

Within that you've got all kinds of branches, categories and approaches. As you may have noticed, different types of AI are better at different tasks: the AI responsible for beating humans at board games isn't necessarily going to be any good at holding up a conversation across an instant messenger app, for instance.

The type of AI Google is most interested in is known as machine learning, where computers learn for themselves based on huge banks of sample data. That could be learning what a picture of a dog looks like or learning how to drive a car, but whatever the end goal, there are two steps: training and inference.

During training, the system is fed with as much sample information as possible - so maybe millions of photos of dogs. The smart algorithms inside the AI then try and spot patterns in the images that suggest a dog, knowledge that's then applied in the inference stage. The end result is an app that recognises your pets in pictures.

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Google may be best known for its software, but when it comes to powering this new generation of AI computing, Google is equally embedded in the hardware development and deployment side.

How Google is powering its next - generation AI . Teaching software to be smart. By David Nield • 2017-06-19T09:00:02.169Z.

AI in Google's apps and engines

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Artificial intelligence is already all over Google's apps, whether it's in spotting which email messages are likely to be spam in Gmail, or making recommendations about what you'd like to listen to next in Google Play Music. Any decision not made by a human could be construed as AI of some kind.

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How Google led the way with less text. Google has long been the master of returning the most relevant research to a textual query. Supporting card apps and micro apps will require a new generation of lightweight HTML APIs like Google ’s card API.

Google is making its own chips because its cloud business is too important. Google ’s TPU represents a next generation of chip, one custom-built for the task of handling AI . How Google will enforce that requirement is unknown. If most of this is gibberish for you, be not afraid.

Another example is voice commands in the Google Assistant. When you ask it to do something, the sound waves created by your voice are compared to the knowledge Google's systems have gained from analysing huge numbers of other audio snippets, and the app then (hopefully) understands what you're saying.

Translating text from one language into another, working out which ads best match which sets of search results, all of these jobs that apps and computers do can be enhanced by AI. It's even popped up in the Smart Reply feature recently added to Gmail - short snippets of text you might want to use in response, based on an (anonymous) analysis of countless other emails.

And Google isn't slowing down, either. The company is busy working hard to improve its efforts in AI, as we saw at I/O earlier in the year - that means more efficient algorithms, a better end experience for users, and even AI that can teach itself to be better.

Google's latest AI push

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We've talked about machine learning but there's a branch of machine learning that Google engineers are specifically interested in called deep learning - that's where AI systems try and mimic the human brain to deal with vast amounts of information.

How Google is powering its next-generation AI

  How Google is powering its next-generation AI If you paid any attention to Google's big developer conference earlier this year then you'll know artificial intelligence is about to get big - really big. So what's all the fuss about? Here we're going to dig deeper into some of the AI announcements Google shared at I/O 2017, and explain how they're going to change the way you interact with your gadgets - from your smartphone to your music speakers.

Its line of Echo devices, brought to life by the artificially intelligent Alexa, has defined the path for the next generation of home automation and commerce and made voice- powered speakers arguably the hottest segment Related: How Apple, Facebook, Amazon, And Google Use AI To Best Each Other.

Google has been released its second- generation Tensor Processor Unit, which is a cloud The computation power of TPUs also is used to enter a question into Google search engine. The first one could only do inference, on the other hand, training is how AI algorithm is developed and that

It's a machine learning technique made possible by the massive amounts of computational power now available to us. In the case of the dog pictures example we mentioned above, it means more layers of analysis, more subtasks making up the main task, and the system itself taking on more of the burden of working out the right answer (so figuring out what makes a dog picture a dog picture, rather than being told by programmers, in our earlier example).

Deep learning means machine learning that relies less on code and instructions written by humans, and deep learning systems are known as neural networks, named after the neurons in the human brain. On stage at Google I/O 2017 we saw a new system called AutoML, which is essentially AI teaching itself - whereas in the past small teams of scientists have had to choose the best coding route to produce the most effective neural nets, now computers can start to do it for themselves.

On its servers, Google has an army of processing units called Cloud TPUs (Tensor Processing Units) designed to handle all this deep thinking. In fact, Google makes some of its AI available to all via the TensorFlow portal - developers can plug the smart algorithms and machine learning power into their own apps, if they know how to harness it. In return, Google gets the best AI minds and apps in the business using its own services.

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a next - generation internal knowledge graph to power Siri and its next generation of intelligent Dr. Dan Klein, chief scientist at Semantic Machines, a startup building its own conversational AI You can better account for this dangerous uncertainty by tracking how vetted information is.

How Google is powering its next - generation AI . Teaching software to be smart. By David Nield • 2017-06-19T09:00:02.169Z.

Google's AI future

  How Google is powering its next-generation AI © Provided by Future Publishing Ltd.

There was no doubt during the I/O 2017 keynote that Google thinks AI will be the most important area of technology for the foreseeable future - more important, even, than how many megapixels it's going to pack into the camera of the Pixel 2 smartphone.

You can therefore expect to hear a lot more about Google and artificial intelligence in the future, from smart, automatic features in Gmail to map directions that know where you're going before you do. The good news is that it seems keen to bring everyone else along for the ride too, making its platforms and services available for others to make use of, and improving the level of AI across the board.

One of the biggest advances you'll see on your phone is the quality of the digital assistant apps, which are set to take on a more important role in the future: choosing the apps you see, the info you need, and much more. We've also been treated to a glimpse of an app called Google Lens, a smart camera add-on that means your phone will know what it's looking at and be able to make decisions at all times.

The AI systems being developed by Google go way beyond our own consumer gadgets and services too - they're being used in the medical profession as well, where deep learning systems can spot the spread of certain diseases much earlier than doctors can, because they've got so much more data to refer to.

Google Photos’ new sharing features are starting to roll out .
The update adds a dedicated “sharing” tab to the bottom of the app and several different ways to share photos. For one, the app will now suggest photos for you to share and who you might want to share them with. The feature is largely based around facial recognition: if Google realizes you regularly share photos of a specific person with a specific email address, it will offer to send them any new pictures.

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