DocumentCode
500773
Title
How to make computers that work like the brain
Author
George, Dileep
Author_Institution
Numenta Inc., Redwood City, CA, USA
fYear
2009
fDate
26-31 July 2009
Firstpage
420
Lastpage
423
Abstract
By using neuroanatomy and neurophysiology as a set of constraints, we believe that we have started to uncover how the brain uses hierarchy and time to create a model of the world, and to recognize novel patterns as part of that model. Hierarchically organized memory is fundamentally different than the linear memory used in current computers, and therefore offers the potential for new computer architectures. Today, we are exploring and advancing this technology by using traditional computer architectures (benefited by multiple CPU cores) to emulate the hierarchical structure of the neocortex. Exploiting the hierarchical temporal structure of the neocortex to build intelligent machines could open up many opportunities to rethink how integrated circuits and systems can play a leading role.
Keywords
artificial intelligence; brain; integrated circuits; learning (artificial intelligence); memory architecture; neurophysiology; brain; computer architectures; hierarchically organized memory; integrated circuits; intelligent machines; neocortex; neuroanatomy; neurophysiology; Cities and towns; brain; hierarchical learning; neocortex; spatio-temporal learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location
San Francisco, CA
ISSN
0738-100X
Print_ISBN
978-1-6055-8497-3
Type
conf
Filename
5227027
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