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An artificially intelligent virtual gamer created by computer scientists at The University of Texas at Austin has won the BotPrize by convincing a panel of judges that it was more human-like than half the humans it competed against. 
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Join leading researchers Dr. Eric Horvitz of Microsoft Research and Dr. Peter Norvig of Google for an intriguing discussion about the past, present, and future of artificial intelligence, moderated by KQED's Tim Olson. Via Szabolcs Kósa
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Soon, we will be able to build computers with artificial intelligence and processing power that rivals the human brain. Intelligence will be everywhere, embedded in our clothing, our vehicles and homes. Intelligent robots will serve us - until they don't feel like doing so anymore. And what happens then...? http://www.imdb.com/title/tt1277322/plotsummary
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Even for our greatest philosopher of the surreal, Sigmund Freud, reality remained rooted in the personal and social. A century on, however, technology is granting us the ability to alter our perception of reality, construct multiple representations of ourselves like avatars, and have relationships with artificial agents like robots. All of these are simultaneously expanding and destabilizing our sense of self. Via juandoming
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Conceiving of an AI in a black box is a good approach if we want to test how a particular system should react when working with the AI and focusing on the system we’re trying to test by mocking the AI’s responses down the chain of events. Think of it as dependency injection with an AI interfacing system. But by abstracting the AI away, what we’ve also done is made it impossible to test the inner workings of the AI system.
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From the year 2000 to 2010 the number of manufacturing jobs in America fell by about a third. The rise of outsourcing and offshoring and the growth of sophisticated supply chains has enabled companies the world over to use China, India and other lower-wage countries as workshops. Now, the global financial crisis has people thinking it is time their countries returned to making stuff in order to create jobs and prevent more manufacturing skills from being lost. These factors, and technologies like robotics, 3D printing and artificial intelligence could help bring about a Third Industrial Revolution. Via Szabolcs Kósa
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What if a camera could not only take a picture but describe the scene, identify objects, and list the names of people within it?
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No sci-fi story is complete without an android, but is our tech really heading that direction?
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The new techniques behind instant crowdsourcing makes human intelligence available on demand for the first time. Articles about CROWDSOURCING: http://www.scoop.it/t/science-news?tag=crowdsourcing
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UC Berkeley researchers are tapping the cognitive smarts of babies, toddlers and preschoolers to program computers to think more like humans.
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According to Chris Chatham at Developing Intelligence, the brain-computer metaphor has lead to a lot of over-simplification in our thinking about our thinking. "An unfortunate legacy is the tendency to seek out modularity in the brain... the idea that computers require memory has lead some to seek for the 'memory area,' when in fact these distinctions are far more messy." We're now learning that regions cannot be associated with a singular function (i.e. the frontal cortex as "the place where personality occurs"). The brain is not a storage dump, and consciousness is not a place. Synapses are also far more complex than electrical circuits. Neither processing speed nor short term memory capacity are fixed, whereas RAM is.
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From
ieet
In the next decade, the United States will use increasingly capable artificial intelligence (AI) to greatly reduce the cost of health care, accelerate research and development into new medicines, improve cars and roads to reduce gridlock, and even...
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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.
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.
Via Dr. Stefan Gruenwald
oliviersc's comment,
October 3, 2012 11:19 AM
Un petit tour par mes Cercles privés à Google+ Thanks for this article !
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- Video see also: http://www.openworm.org Via Gerd Moe-Behrens
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Were you fooled by the machine? Listen to five audio clips and try to guess which piece of music was dreamed up inside the brain of a computer. Via Mário Florido
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Artificial intelligence could give insights into the effects of drugs by analysing the stream-of-consciousness reports written by users during trips...
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If a computer can predict that someone was feeling frustrated correctly while another human gets it wrong then surely the computer is in some way better at understanding the frustration of the subject?
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Bableverse creators quote a Google translation executive saying that machine translation cannot be improved upon until we reach the singularity, a point where the physical distinction between man and machine is erased. Until then, combining machine intelligence with human nuance will prove the next best thing.
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Forget about The Terminator, the real problem with AI (artificial intelligence) is what to do when it meets your boss or even your friends. This is not the pitch for some kind of sci-fi rom-com, but rather the genuine concern of Dr Stuart Armstrong, a research fellow at Oxford University's Future of Humanity Institute. His job is to think about future threats to the human race and how to confront them.
More on ROBOTICS: http://www.scoop.it/t/science-news?tag=robotics
More on ARTIFICIAL INTELLIGENCE: http://www.scoop.it/t/science-news?tag=artificial%20intelligence Via The Robot Launch Pad, Szabolcs Kósa
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New research seeks to inform a United Nations debate on whether to call a temporary halt to the release into the environment of artificially created organisms. Articles about SYNTHETIC BIOLOGY: http://www.scoop.it/t/science-news?tag=synthetic%20biology
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Cellular automata are probably the closest things to machine life that most people have gotten an opportunity to experiment with in recent years. John Conway invented a piece of software titled the Game of Life in 1970. He carefully set up the rules to create a balanced world. While this might sound like old news, it has allowed scientists to actually simulate certain real world systems.
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Computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing's work to its next logical step by translating her 1993 discovery of "Super-Turing" computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue of Neural Computation.
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Intelligence – what does it really mean? In the 1800s, it meant that you were good at memorising things, and today intelligence is measured through IQ tests where the average score for humans is 100.
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"...people were extremely optimistic about the field's progress, but it hasn't turned out that way. "