大脑能量学和AI
Energetics of the brain and AI
摘要：
人类大脑的能量需求是否会给人以能量限制，从而有理由怀疑人工智能的可行性？本报告将回顾一些相关的估计大脑生物能量学和分析一些方法估计大脑仿真的能量需求。谈到人工智能，有理由相信从头人工智能的能量需求与大脑（仿真）能量需求几乎没有相关性，因为成本可能仅取决于处理更高级别表示的成本，而不是数十亿次神经放电。除非有人认为人类的思维方式是实现软件智能的最佳或最容易实现的方式，否则我们应该期待从头开始的人工智能使用不同的，可能非常压缩和快速的过程。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
