Title :
How to make computers that work like the brain
Author_Institution :
Numenta Inc., Redwood City, CA, USA
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;
Conference_Titel :
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-6055-8497-3