The Most Powerful Arm Ever Invented - 0 views
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Watch both videos...especially the last one. A robotic arm has been created, which is tasked with translating your Facebook name, into physical signatures on a petition to the prime minister (president equivalent) of Australia.
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Nike's Chalkbot - similar idea: http://jalopnik.com/5308838/chalkbot-pneumatically-sprays-100000-graffiti-messages-during-tour-de-france
Uber's Newest Ride: Optimus Prime - 1 views
Tablets Equal All-Day Media Consumption - 0 views
Smarter Than You Think - Aiming to Learn as We Do, A Machine Teaches Itself - NYTimes.com - 0 views
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Since the start of the year, a team of researchers at Carnegie Mellon University — supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.
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The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”
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