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Special report : Can we copy the brain? - What intelligent machines need to learn from the Neocortex.

Authors :
Hawkins, Jeff
Source :
IEEE Spectrum; Jun2017, Vol. 54 Issue 6, p34-71, 38p
Publication Year :
2017

Abstract

Computers have transformed work and play, transportation and medicine, entertainment and sports. Yet for all their power, these machines still cannot perform simple tasks that a child can do, such as navigating an unknown room or using a pencil. The solution is finally coming within reach. It will emerge from the intersection of two major pursuits: the reverse engineering of the brain and the burgeoning field of artificial intelligence. Over the next 20 years, these two pursuits will combine to usher in a new epoch of intelligent machines. Why do we need to know how the brain works to build intelligent machines? Although machine-learning techniques such as deep neural networks have recently made impressive gains, they are still a world away from being intelligent, from being able to understand and act in the world the way that we do. The only example of intelligence, of the ability to learn from the world, to plan and to execute, is the brain. Therefore, we must understand the principles underlying human intelligence and use them to guide us in the development of truly intelligent machines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189235
Volume :
54
Issue :
6
Database :
Complementary Index
Journal :
IEEE Spectrum
Publication Type :
Periodical
Accession number :
123392107
Full Text :
https://doi.org/10.1109/MSPEC.2017.7934229