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Machine Learning: Google's Vision - Google I/O 2016
Google has deployed practical A.I. throughout its products for the last decade -- from Translate, to the Google app, to Photos, to Inbox. The teams continue to make fundamental breakthroughs in machine learning, publishing promising new results at an accelerating pace.
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Machine Learning Algorithms Making Robots
Machine Learning Algorithms Making Robots 1000x More Capable Than Humans
At a recent Microsoft Developers Build Conference in San Francisco, one presenter discussed how robots are being designed to do human work through the use of machine learning (ML). Take, for instance, lettuce cutting. A new robot from Blueriver Technology, known as LettucBot, uses ML algorithms to cut lettuce precisely.
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Machine Learning (Image Courtesy www.bdtech24.com)

At a recent Microsoft Developers Build Conference in San Francisco, one presenter discussed how robots are being designed to do human work through the use of machine learning (ML). Take, for instance, lettuce cutting. A new robot from Blueriver Technology, known as LettucBot, uses ML algorithms to cut lettuce precisely. Blueriver’s motto is “smart machines for digital agriculture.”

Robots 
Robots Handling Vastly More Variables

It’s not that robots are smarter than humans, it’s that they have more capability of handling significantly more variables than humans. Humans handle 10 to 15 variables at a time while ML algorithms handle thousands. What’s more, ML algorithms can be designed to slice and dice information to identify hierarchical layers of information, create outlines, and synthesize this information to make decisions in a split-second or less.

Machine Learning
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Artificial Intelligence (AI)    Machine Intelligence,
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===>> (AI)  Stuart J. Russell: we have tried to understand how we think: that is, how a mere handful of matter can perceive, understand, predict, and manipulate a world far larger and more complicated than itself. The field of artificial intelligence, or AI, goes further still: it attempts not just to understand but also to build intelligent entities.
  ===>> (AI) is just taking off and it's going to take over the world very quickly. : Bill Gates,?  : Stephen Hawking,?  : Elon Musk,? 
Artificial Intelligence (AI) is the science of how to get machines to do the things they do in the movies.
I think we should think of AI as the intellectual equivalent of a backhoe. It will be much better than us at a lot of things.
Google will fulfill its mission only when its search engine is AI-complete. You ALL know what that means? That's artificial intelligence
===>> (AI)  Stuart J. Russell: What AI could do is essentially be a power-tool that magnifies human intelligence and gives us the ability to move our civilization forward. It might be curing disease, it might be eliminating poverty. Certainly, it should include preventing environmental catastrophe. If AI could be instrumental to all those things, then I would feel it was worthwhile.
Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks.
Google or other search engines are examples of AI and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.
Sometimes it seems as though each new step towards AI, rather than producing something which everyone agrees is real intelligence, merely reveals what real intelligence is not.AI'
I expect that people are going to feel differently about that once they're aware that AI systems can watch through a camera and can, in some sense, understand what it's seeing.
AI systems will enable doctors to diagnose diseases and treat people better, so blocking that progress is probably one of the worst things you can do for making the world better.
A lot of movies about artificial intelligence envision that AI's will be very intelligent but missing some key emotional qualities of humans and therefore turn out to be very dangerous.
AI has by now succeeded in doing essentially everything that requires 'thinking' but has failed to do most of what people and animals do 'without thinking'-that, somehow, is much harder.
In AI, Spielberg  ...Stephen Hawking If a superior alien civilization sent us a message saying, 'We'll arrive in a few decades', would we just reply, 'OK, call us when you get here "“ we'll leave the lights on'? Probably not "“ but this is more or less what is happening with AI,
In AI, Spielberg  ...Stuart J. Russell ...Eliezer Yudkowsky...Stuart J. Russell
===>> (AI)  Brendan Gleeson...I worked with (Steven Spielberg on AI,) and his level of preparation was extraordinary. He told me there was a time at the beginning when he was a bit more spontaneous and went over budget, and it absolutely wrecked his head. When you look at the power and assuredness of his movies, it makes sense that he works out so much in advance.
The more we learn about AI and about how the brain works, the more amazing the brain seems. Just the sheer amount of computation it does is truly incredible, especially for a couple of pounds of meat.
If you want to build a recursively self-improving AI, have it go through a billion sequential self-modifications, become vastly smarter than you, and not die, you've got to work to a pretty precise standard.
When people talk about the singularity, when people talk about superintelligent AI, they're not talking about sentience or consciousness. They're talking about superhuman ability to make high-quality decisions.
===>> (AI)  Peter Diamandis: Today, a group of 20 individuals empowered by the exponential growing technologies of AI and robotics and computers and networks and eventually nanotechnology can do what only nation states could have done before.
===>> (AI)  Stuart J. Russell: Most of the AI goes into figuring which are the important pages you want. And to some extent what your query means, and what you're likely to be after based on your previous behavior and other information it collects about you.
===>> (AI)  Stuart J. Russell: AI's ability to recognize visual categories and images is now pretty close to what human beings can manage, and probably better than a lot of people's, actually. AI can have more knowledge of detailed categories, like animals and so on.
publishing papers in the main field of AI -
===>> (AI)  Ramez Naam I'm a geek at Microsoft the search engine relevance work on Bing. we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.
===>> (AI)  Ramez Naam: Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self- driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.
===>>Artificial Intelligence (AI)  Gary Gygax: Machine Intelligence, (AI)  any more than seeing a theatrical motion picture can replace the stage play.
 ===>> (AI)  Daniel Crevier: Pattern recognition and association make up the core of our thought. These activities involve millions of operations carried out in parallel, outside the field of our consciousness. If AI appeared to hit a brick wall after a few quick victories, it did so owing to, its inability to emulate these processes.
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Artificial Intelligence (AI)    Machine Intelligence,    Machine Learning,
Artificial Intelligence (AI)    Machine Intelligence,    Machine Learning,

Artificial Intelligence (AI)    Machine Intelligence,    Machine Learning,

Machine Learning (Image Courtesy www.hackbrightacademy.com)

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The following video is a speech about ML by Tom Simonite of Google. According to the video description:

Google has deployed practical A.I. throughout its products for the last decade — from Translate, to the Google app, to Photos, to Inbox. The teams continue to make fundamental breakthroughs in machine learning, publishing promising new results at an accelerating pace. Now TensorFlow and Cloud Machine Learning make it even easier for researchers and developers around the world to collaborate. So as we work together to drive machine learning forward, what are the most exciting possibilities? What are the top challenges? And what’s on the horizon?

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