Report
Energetics of the brain and AI
- Abstract:
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Does the energy requirements for the human brain give energy constraints that give reason to doubt the feasibility of artificial intelligence? This report will review some relevant estimates of brain bioenergetics and analyze some of the methods of estimating brain emulation energy requirements.
Turning to AI, there are reasons to believe the energy requirements for de novo AI to have little correlation with brain (emulation) energy requirements since cost could depend merely of the cost of processing higher-level representations rather than billions of neural firings. Unless one thinks the human way of thinking is the most optimal or most easily implementable way of achieving software intelligence, we should expect de novo AI to make use of different, potentially very compressed and fast, processes.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 216.6KB, Terms of use)
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- Publication website:
- http://sapience.org/posts/energetics-brain-ai/
Authors
- Publisher:
- Sapience Project
- Pages:
- 1-10
- Article number:
- STR 2016-02
- Publication date:
- 2016-02-11
- Paper number:
- STR 2016-02
- Language:
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English
- Keywords:
- Pubs id:
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905307
- Local pid:
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pubs:905307
- Deposit date:
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2020-06-30
- ARK identifier:
Terms of use
- Copyright holder:
- Sapience Project
- Copyright date:
- 2016
- Rights statement:
- © The Sapience Project 2016.
- Notes:
- This is the publisher's version of the report. The final version is available online from the Sapience Project at: http://sapience.org/posts/energetics-brain-ai/
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