Machine Learning Human Life – Episode 2: Chuck Norris Strategy – Video


Machine Learning Human Life - Episode 2: Chuck Norris Strategy
CHUCK NORRIS STRATEGY Jean dupond is a prisonner who has accepted to work on a project which consist of helping a computer to learn human life, in order to improve artificial intelligence....

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Machine Learning Human Life - Episode 2: Chuck Norris Strategy - Video

What is din:don? Alberto Vasquez presenting at Virus Est in the Kolor Klub english subtitles – Video


What is din:don? Alberto Vasquez presenting at Virus Est in the Kolor Klub english subtitles
Are economically motivated human conversations the key of our future survival? Does gratitude have a conteporary value? Is our future about depending on Artificial Intelligence? What does Economic.

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What is din:don? Alberto Vasquez presenting at Virus Est in the Kolor Klub english subtitles - Video

Artificial Intelligence vs Humans | Jim Hendler | TEDxBaltimore – Video


Artificial Intelligence vs Humans | Jim Hendler | TEDxBaltimore
Artificial Intelligence vs Humans - Jim disagrees with Stephen Hawking about the role Artificial Intelligence will play in our lives. Jim is an artificial intelligence researcher at Rensselaer...

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Artificial Intelligence vs Humans | Jim Hendler | TEDxBaltimore - Video

Our Fear of Artificial Intelligence

Years ago I had coffee with a friend who ran a startup. He had just turned 40. His father was ill, his back was sore, and he found himself overwhelmed by life. Dont laugh at me, he said, but I was counting on the singularity.

My friend worked in technology; hed seen the changes that faster microprocessors and networks had wrought. It wasnt that much of a step for him to believe that before he was beset by middle age, the intelligence of machines would exceed that of humansa moment that futurists call the singularity. A benevolent superintelligence might analyze the human genetic code at great speed and unlock the secret to eternal youth. At the very least, it might know how to fix your back.

But what if it wasnt so benevolent? Nick Bostrom, a philosopher who directs the Future of Humanity Institute at the University of Oxford, describes the following scenario in his book Superintelligence, which has prompted a great deal of debate about the future of artificial intelligence. Imagine a machine that we might call a paper-clip maximizerthat is, a machine programmed to make as many paper clips as possible. Now imagine that this machine somehow became incredibly intelligent. Given its goals, it might then decide to create new, more efficient paper-clip-manufacturing machinesuntil, King Midas style, it had converted essentially everything to paper clips.

No worries, you might say: you could just program it to make exactly a million paper clips and halt. But what if it makes the paper clips and then decides to check its work? Has it counted correctly? It needs to become smarter to be sure. The superintelligent machine manufactures some as-yet-uninvented raw-computing material (call it computronium) and uses that to check each doubt. But each new doubt yields further digital doubts, and so on, until the entire earth is converted to computronium. Except for the million paper clips.

Bostrom does not believe that the paper-clip maximizer will come to be, exactly; its a thought experiment, one designed to show how even careful system design can fail to restrain extreme machine intelligence. But he does believe that superintelligence could emerge, and while it could be great, he thinks it could also decide it doesnt need humans around. Or do any number of other things that destroy the world. The title of chapter 8 is: Is the default outcome doom?

If this sounds absurd to you, youre not alone. Critics such as the robotics pioneer Rodney Brooks say that people who fear a runaway AI misunderstand what computers are doing when we say theyre thinking or getting smart. From this perspective, the putative superintelligence Bostrom describes is far in the future and perhaps impossible.

Yet a lot of smart, thoughtful people agree with Bostrom and are worried now. Why?

Volition

The question Can a machine think? has shadowed computer science from its beginnings. Alan Turing proposed in 1950 that a machine could be taught like a child; John McCarthy, inventor of the programming language LISP, coined the term artificial intelligence in 1955. As AI researchers in the 1960s and 1970s began to use computers to recognize images, translate between languages, and understand instructions in normal language and not just code, the idea that computers would eventually develop the ability to speak and thinkand thus to do evilbubbled into mainstream culture. Even beyond the oft-referenced HAL from 2001: A Space Odyssey, the 1970 movie Colossus: The Forbin Project featured a large blinking mainframe computer that brings the world to the brink of nuclear destruction; a similar theme was explored 13 years later in WarGames. The androids of 1973s Westworld went crazy and started killing.

Extreme AI predictions are comparable to seeing more efficient internal combustion engines and jumping to the conclusion that the warp drives are just around the corner, Rodney Brooks writes.

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Our Fear of Artificial Intelligence

Robot Commands Elon Musk, Bill Gates to Accept Artificial Intelligence

As engineers continue to experiment with artificial intelligence, its no secret that certain prominent figuresBill Gates, Elon Musk and Stephen Hawking, to name a feware less than enthusiastic about the technology. Mr. Gates has said hes concerned about super intelligence; Mr. Musk has compared AI to an inexorable demon; Mr. Hawking, perhaps the most wary, has said the development of full artificial intelligence could spell the end of the human race.

The team behindCubic, a new robotic personal assistant, has just launched a clever series of promotional videos askingMr. Gates,Mr. Musk, and Mr. Hawking to reconsider their opinions of artificial intelligence. In each of the videos, Cubic CMO Ivan Kryukov has a briefconversation with a Cubic devicea small cube that, besides managing users disparate technologies, also boasts emotions and a personality. Heres the one directed at Mr. Musk:

Hey Cubic, werent you modeled after the robot J.A.R.V.I.S. from the Ironman movie? Mr. Kryukov asks his Cubic. Later, the robot points out that Elon Musk was the real-life inspiration for Ironmans Tony Stark character.Its ironic, the Cubic says, because Elon Musk has said that artificial intelligence is actually quite dangerous.

Are you saying that in real life, Tony Stark doesnt like J.A.R.V.I.S.? Mr. Kryukov asks. Yes. That is what Im saying, the robot replies.

I want you to meet Elon Musk, Mr. Kryukov concludes. Im sure if he meets you, he will love you and change his mind about artificial intelligence.

While theres no saying how Mr. Gates, Mr. Musk and Mr. Hawking will react to Cubic, we, certainly, are interested.Launched on Indiegogo, the product raised $115,699110 percent of its original fundraising goal. The Cubic team reportedly developed itfor three years, and now have a working prototype.

So what does Cubicdo? Its a little bit likea home automation device, except instead ofjust controlling your home appliances, Cubic integrates and controls allof your technologyeverything from social media, music and emailto home devices and fitness wearables. Its like having an intelligent personal assistantto do all of your technology-related tasks for you: it can detect when you say something funny, and ask if youd like to tweet it; it can learn your taste in movies, and offer to book tickets to upcoming flicks it thinks youd like; it can check how many calories youve burned today, and suggest whether or not you should have a slice of pie.

But theres something specialand perhaps creepy, depending on how you feel about artificial intelligencethatsets Cubic apart fromsimilar products. Besides executing voice commands, Cubic tries to entertain and emotionally support the user, Mr. Kryukov told the Observer.

Thats rightCubic has a personality, and, as the above video indicates, it can carry on long conversations with users. It can even tell jokes. To be fair, Amazons new Echo device tells jokes, too, but unlike Cubic, is has to stay in your home. Cubic, on the other hand, is portable; it comes with a wearable power badge that can clip onto your clothes. Its like carrying a helpful friend with you wherever you go.

Mr. Kryukov believes that by 2020, sentient robot assistants will be as popular as smartphones are today.

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Robot Commands Elon Musk, Bill Gates to Accept Artificial Intelligence

Bill Gates: We Should All Be Concerned About Artificial Intelligence’s Growing Power – TOI – Video


Bill Gates: We Should All Be Concerned About Artificial Intelligence #39;s Growing Power - TOI
Bill Gates: We should all be concerned about Artificial Intelligence #39;s growing power Like Elon Musk and Stephen Hawking, Bill Gates thinks we should be conce...

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Sebastian Rogers AKA Basszyx – Machines – Artificial Intelligence Dubstep 2015 – Video


Sebastian Rogers AKA Basszyx - Machines - Artificial Intelligence Dubstep 2015
Bill Gates expressed that he feels humanity needs to be more cautious with the development of artificial intelligence. Stephen Hawking: #39;AI could spell end o...

By: Sebastian Rogers

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Sebastian Rogers AKA Basszyx - Machines - Artificial Intelligence Dubstep 2015 - Video

Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence – Video


Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence
Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence There are several technologies emerging that will change what it means to...

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Artificial Intelligence Uses HAARP, Chemtrails, Satellites, Computers To Enslave Us – Magnus Olsson – Video


Artificial Intelligence Uses HAARP, Chemtrails, Satellites, Computers To Enslave Us - Magnus Olsson
Full article audio archive: http://wp.me/p30jla-esn Pete is joined by first time guest Magnus Olsson expert on mind control and covert harrassment. Magnus ...

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Artificial Intelligence Uses HAARP, Chemtrails, Satellites, Computers To Enslave Us - Magnus Olsson - Video

Deep Learning Squeezed Onto a Phone

Artificial-intelligence software can make phones better at tracking your workouts and emotions.

Software that roughly mimics the way the brain works could give smartphones new smartsleading to more accurate and sophisticated apps for tracking everything from workouts to emotions.

The software exploits an artificial-intelligence technique known as deep learning, which uses simulated neurons and synapses to process data. Feeding the program visual stimuli will strengthen the connections between certain virtual neurons, enabling it to recognize faces or other features in images it hasnt seen before.

Deep learning has produced dramatic advances in processing images and audio (see 10 Breakthrough Technologies 2013: Deep Learning). Last year, for instance, Facebook researchers used it to build a system that can determine nearly as well as a human whether two different photos show the same person, and Google used the method to create software that describes complicated images in short sentences (see Googles Brain-Inspired Software Describes What It Sees in Complex Images). Thus far, however, most such efforts have involved groups of extremely powerful computers.

Smartphones can already make use of deep learning by tapping into remote servers running the software. But this can be slow, and it works only if a device has a good Internet connection. Now Nic Lane, a principal scientist at Bell Labs, says some smartphones are powerful enough to run certain deep-learning methods themselves. And Lane believes deep learning can improve the performance of mobile sensing apps. For example, it could filter out unwanted sounds from a microphone or remove unwanted signals in the data gathered by an accelerometer.

While Lane was a lead researcher at Microsoft Research Asia last year, he and Petko Georgiev, a graduate student at the University of Cambridge in the U.K., built a prototype of relatively simple deep-learning program that runs on a modified Android smartphone.

The researchers were trying to see whether their prototype could improve a smartphones ability to detect, from data collected by an accelerometer on the wrist, whether someone was performing certain activities, such as eating soup or brushing teeth. They also tested whether they could get the phone to determine peoples emotions or identities from recordings of their speech.

Lane and Georgiev detail their findings in a paper being presented this month at the HotMobile conference in Santa Fe, New Mexico. They report that the software they created was 10 percent more accurate than other methods at recognizing activities. The researchers also say their neural network was able to identify speakers and emotions about as accurately as other methods.

The prototype network Lane and Georgiev built had just a fraction as many connections between its artificial neurons as Facebooks. But it could be faster and more reliable for some tasks.

Its all about, I think, instilling intelligence into devices so that they are able to understand and react to the worldby themselves, Lane says.

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Deep Learning Squeezed Onto a Phone

Davos 2015; A Brave New World and Advances in Artificial Intelligence – Video


Davos 2015; A Brave New World and Advances in Artificial Intelligence
Davos 2015; A Brave New World and Advances in Artificial Intelligence The content of any articles published on the Websites (Articles) is representing the ...

By: samuel ezerzer

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Davos 2015; A Brave New World and Advances in Artificial Intelligence - Video