DocumentCode :
3748085
Title :
"What the brain tells us about the future of silicon"
Author :
Jeff Hawkins
Author_Institution :
Numenta, Inc., 791 Middlefield Road, Redwood City, CA 94063
fYear :
2015
Abstract :
Many computer and semiconductor manufacturers are looking for new growth opportunities that are not based on traditional von-Neumann architectures. They are also concerned about the potential end of "Moore´s law". This has led to an increased interest in artificial neural networks, and neuromorphic hardware that can support these systems. It is well known that the brain is power efficient and naturally fault tolerant. Therefore, much research is being done on how silicon can support neural architectures while achieving greater power efficiency and greater storage density. I will make two main arguments.
Keywords :
"Neurons","Computer architecture","Artificial neural networks","Neuromorphics","Computational modeling","Silicon"
Publisher :
ieee
Conference_Titel :
Electron Devices Meeting (IEDM), 2015 IEEE International
Electronic_ISBN :
2156-017X
Type :
conf
DOI :
10.1109/IEDM.2015.7409629
Filename :
7409629
Link To Document :
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