Machines Pensantes
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Machines Pensantes
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Is it possible to build an ARTIFICIAL superintelligence without fully replicating the human brain ?

Is it possible to build an ARTIFICIAL superintelligence without fully replicating the human brain ? | Machines Pensantes | Scoop.it
The technological singularity requires the creation of an artificial superintelligence (ASI). But does that ASI need to be modelled on the human brain, or is it even necessary to be able to fully replicate the human brain and consciousness digitally in order to design an ASI ?

Via BeerBergman
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How Researchers Map The Future Of Innovation

How Researchers Map The Future Of Innovation | Machines Pensantes | Scoop.it

This article is part of ReadWrite Future Tech, an annual series where we explore how technologies that will shape our lives in the years and decades to come are grounded in the innovation and research of today.

In 1991, the United States Defense Advanced Research Project Agency, the research arm of the Pentagon, reorganized its priorities. Part of that reorganization meant much of the funding the agency had provided for projects like artificial intelligence and deep neural networks was pulled.

It may have been the best and worst thing to ever happen to the field of artificial intelligence.


Via Terheck, Lockall
Library@NYP's curator insight, October 26, 2013 12:10 PM

Today's technological world can be credited to the many innovations which researchers took many  years to  develop - be it smartphones, tablets,  sensors, 3D gaming, wireless networks, and so on. In this interesting article, you can learn about the Four Quadrant model of technological research that many organizations have used in their innovations and research journey.

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So It Begins: Darpa Sets Out to Make Computers That Can Teach Themselves

So It Begins: Darpa Sets Out to Make Computers That Can Teach Themselves | Machines Pensantes | Scoop.it

The Pentagon’s blue-sky research agency is readying a nearly four-year project to boost artificial intelligence systems by building machines that can teach themselves — while making it easier for ordinary schlubs like us to build them, too.

When Darpa talks about artificial intelligence, it’s not talking about modeling computers after the human brain. That path fell out of favor among computer scientists years ago as a means of creating artificial intelligence; we’d have to understand our own brains first before building a working artificial version of one. But the agency thinks we can build machines that learn and evolve, using algorithms — “probabilistic programming” — to parse through vast amounts of data and select the best of it. After that, the machine learns to repeat the process and do it better.


Via Szabolcs Kósa, gawlab
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Big Data is the NEW Artificial Intelligence

Big Data is the NEW Artificial Intelligence | Machines Pensantes | Scoop.it

This is the first of a couple columns about a growing trend in Artificial Intelligence (AI) and how it is likely to be integrated in our culture. Computerworld ran an interesting overview article on the subject yesterday that got me thinking not only about where this technology is going but how it is likely to affect us not just as a people. but as individuals. How is AI likely to affect me? The answer is scary.

Robert X. Cringely, 16/04/2014


Via Pierre Tran, Monika Fleischmann
Pierre Tran's curator insight, April 18, 2014 12:56 AM

L'intelligence artificielle, telle que conçue dans les années 80 à base d'algorithmes et de puissance informatique, a échoué. Aujourd'hui, les ordinateurs se nourrissent de big data et apprennent par eux-mêmes.

Ceux qui prédisent le futur ont tendance à surestimer le changement à court terme et à sous-estimer celui à long terme. 

Pierre Tran's curator insight, April 18, 2014 12:58 AM

L'intelligence artificielle, telle que conçue dans les années 80 à base d'algorithmes et de puissance informatique, a échoué. Aujourd'hui, les ordinateurs se nourrissent de big data et apprennent par eux-mêmes.

Ceux qui prédisent le futur ont tendance à surestimer le changement à court terme et à sous-estimer celui à long terme. 

Alice Maria Costa's curator insight, April 20, 2014 11:20 AM

Como um afeta AI te?

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Are Robots Going To KILL Your Next Job Or Create It?

Are Robots Going To KILL Your Next Job Or Create It? | Machines Pensantes | Scoop.it

Everyone agrees that some jobs for humans will be lost to robots, and some jobs for humans will be created because of robots. But there is a growing debate about the math. Will the robotics revolution be an aggregate job creator or job killer for humans?


Via Szabolcs Kósa, JP Fourcade
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[IA] How artificial intelligence is CHANGING our lives

[IA] How artificial intelligence is CHANGING our lives | Machines Pensantes | Scoop.it

In a sense, AI has become almost mundanely ubiquitous, from the intelligent sensors that set the aperture and shutter speed in digital cameras, to the heat and humidity probes in dryers, to the automatic parking feature in cars. And more applications are tumbling out of labs and laptops by the hour.


“It’s an exciting world,” says Colin Angle, chairman and cofounder of iRobot, which has brought a number of smart products, including the Roomba vacuum cleaner, to consumers in the past decade.


What may be most surprising about AI today, in fact, is how little amazement it creates. Perhaps science-fiction stories with humanlike androids, from the charming Data (“Star Trek“) to the obsequious C-3PO (“Star Wars”) to the sinister Terminator, have raised unrealistic expectations. Or maybe human nature just doesn’t stay amazed for long.


“Today’s mind-popping, eye-popping technology in 18 months will be as blasé and old as a 1980 pair of double-knit trousers,” says Paul Saffo, a futurist and managing director of foresight at Discern Analytics in San Francisco. “Our expectations are a moving target.”

 

The ability to create machine intelligence that mimics human thinking would be a tremendous scientific accomplishment, enabling humans to understand their own thought processes better. But even experts in the field won’t promise when, or even if, this will happen.

 

Entrepreneurs like iRobot’s Mr. Angle aren’t fussing over whether today’s clever gadgets represent “true” AI, or worrying about when, or if, their robots will ever be self-aware. Starting with Roomba, which marks its 10th birthday this month, his company has produced a stream of practical robots that do “dull, dirty, or dangerous” jobs in the home or on the battlefield. These range from smart machines that clean floors and gutters to the thousands of PackBots and other robot models used by the US military for reconnaissance and bomb disposal.


While robots in particular seem to fascinate humans, especially if they are designed to look like us, they represent only one visible form of AI. Two other developments are poised to fundamentally change the way we use the technology: voice recognition and self-driving cars.


Via Dr. Stefan Gruenwald, Sakis Koukouvis
oliviersc's comment, October 3, 2012 11:19 AM
Un petit tour par mes Cercles privés à Google+ Thanks for this article !