Answers.Body: <p>No. The reasons include but are not limited to:</p>
  <ul>
  <li><p>lack of understanding of how the brain works</p>
  </li>
  <li><p>current ANNs are mostly good at pattern recognition and generative   tasks, but lack the capacity to create abstractions on their own</p>
  </li>
  <li><p>we can't match the size/number of artificial neurons to the number of biological neurons</p>
  </li>
  <li><p>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).</p>
  </li>
  </ul>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-10-20T21:17:06.703Z
Answers.Text: Both the question and answer might benefit from distinguishing between "possible someday" and "possible right now"
Answers.UserDisplayName: antlersoft
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2016-10-20T18:54:22.163Z
Answers.LastActivityDate: 2021-01-26T01:49:33.417Z
Answers.LastEditDate: 2021-01-26T01:49:33.417Z
Answers.UserDisplayName: Iliyan Bobev
Body: <p>I read a lot about the structure of the human brain and artificial neural networks.</p>
  <p>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.?</p>
  
Tags: <neural-networks><agi><neuromorphic-engineering><neuroscience><brain>
Title: Is it possible to build an AGI with neural networks on neuromorphic chips?
UserDisplayName: Bartosz Królak
ThreadText: # Is it possible to build an AGI with neural networks on neuromorphic chips?
  
  (Asked by: username_0 on 2016-10-20)
  
  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.?
  
  **Tags:** neural-networks, agi, neuromorphic-engineering, neuroscience, brain
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2016-10-20. Score: 2 | Accepted answer
  
  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).
  
  > **Comments:**
  > **username_2**: Both the question and answer might benefit from distinguishing between "possible someday" and "possible right now"  
  
  ---
  
  