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I read a lot about the structure of the human brain and artificial neural networks.

Is it possible to build an AGI (or human-level AI) with artificial neural networks on neuromorphic chips, which would be divided into centers, like the brain is, e.g. centers responsible for feelings, abstract thinking, speech, memory, etc.?

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No. The reasons include but are not limited to:

  • lack of understanding of how the brain works

  • current ANNs are mostly good at pattern recognition and generative tasks, but lack the capacity to create abstractions on their own

  • we can't match the size/number of artificial neurons to the number of biological neurons

  • even with a much smaller ANN size, performance is an issue (i.e. state of the art image categorization ANNs have to be trained few weeks on multi GPU rigs to match human level).

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    $\begingroup$ Both the question and answer might benefit from distinguishing between "possible someday" and "possible right now" $\endgroup$ – antlersoft Oct 20 '16 at 21:17

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