Henry Markram: Supercomputing the brain's secrets
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Uploaded by TEDtalksDirector on Oct 15, 2009
http://www.ted.com Henry Markram says the mysteries of the mind can be solved -- soon. Mental illness, memory, perception: they're made of neurons and electric signals, and he plans to find them with a supercomputer that models all the brain's 100,000,000,000,000 synapses.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the "Sixth Sense" wearable tech, and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Watch a highlight reel of the Top 10 TEDTalks at http://www.ted.com/index.php/talks/top10
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@Kaeralho It'll happen. Computer power grows exponentially.
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@corkkyle XD
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Supercomputer can perform perfectly at Antarctica, Alaska, Greenland, Arctic, North Canada and North Russia.
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Damn science you're scary !
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I actually looked this up by using my brain
7 months ago 5
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@jsymons1985 Hebbian Learning.
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This is very similar to Hierarchical Temporal Memory, and both of them are different implementations of Adaptive Resonance Theory.
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Neurological biophotons are not even mentioned here. But, most importantly, the 'Problem of Emergence' is not even touched!
Naivety.
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that's 100 billion laptops
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well he has a couple amazing computers that emulate 10000 neurons... that's amazing! just 85.5 billion to go!
Kaeralho 10 months ago 24
I can produce a super-computer that will smoke any supercomputer in production today... it takes me about 9 months to build it, and then about 18 years to train it.
corkkyle 7 months ago 19