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
Link To Document :
بازگشت