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Science in Seconds - Artificial Intelligence

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Science in Seconds Know Everything RAVES - Artificial Intelligence Brit Trogen: Artificial intelligence always gets such a bad rap. HAL from Space Odyssey, Skynet from Terminator, the Cylons. If science fiction is any indicator, it looks like the machine mind will turn against us as soon as it gains awareness. But if that's the case we'd better stop roboticist Hod Lipson at Cornell's Computational Synthesis Lab pretty quickly, as his research is rapidly bringing us closer to true AI. He's developed a computer program that can analyze raw data, so quickly that it was able to independently discover Newton's laws of the conservation of energy and momentum in a matter of hours. A feat that took Newton himself decades. And Lipson isn't the only one making great strides in cybernetics. European researchers have now succeeded in creating what they call the first, truly, perceptive robot named Popeye, who combines auditory and visual data to detect human faces and speech with more accuracy than ever before. Actively ignoring background noises, and functioning even outside the controlled laboratory setting. Other researchers are teaching computers how to learn from Wikipedia, to pick up background knowledge that will be essential for any human interaction. And perhaps even sabotage the entries afterwards, so that we pitiful humans would never be able to catch up. In the past the hurdles facing true AI have been so many and so varied that it really was only a distant concern. But now that they can see us, outsmart us and learn, let's just hope all they want is to take control of Facebook and beat us at chess. Courtesy of Science in Seconds – All rights reserved Only for educational/non-profit purposes. (Translators are invited to put their name here)

Video Details

Duration: 2 minutes and 4 seconds
Year: 2010
Country: United States
Language: English
License: All rights reserved
Producer: Science in Seconds
Director: Science in Seconds
Views: 81
Posted by: tradottiinitaliano on Sep 10, 2011

Awesome and terrifying advances in the field of machine learning.

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