After all, human beings have proven uniquely capable of interpreting the world around us and using the information we pick up to

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问题    After all, human beings have proven uniquely capable of interpreting the world around us and using the information we pick up to effect change. If we want to build machines to help us do this more efficiently, then it makes sense to use ourselves as a blueprint. Research into applied, specialized AI is already providing breakthroughs in fields of study from quantum physics where it is used to model and predict the behavior of systems comprised of billions of subatomic particles, to medicine where it being used to diagnose patients based on genomic data. Generalized AI is a bit further off—to carry out a complete simulation of the human brain would require both a more complete understanding of the organ than we currently have, and more computing power than is commonly available to researchers.

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答案 毕竟,人类已被证明是唯一能够解释周围世界,并利用所掌握信息改变世界的生物。如果我们想借助机器来帮助我们更高效地实现这个目的,我们就应该拿自己作为制造蓝图。针对应用型、专业化的人工智能的研究已在量子物理、医学等众多研究领域获得突破。在量子物理领域,人工智能已被用来模仿、预测由数十亿亚原子粒子组成的系统的表现;而在医学领域,人工智能已被用来基于基因组数据诊断病人。通用型人工智能的发展则有些任重道远——实现对人脑的完全模拟需要我们比当前更全面地了解人脑,也需要研究者掌握较通常所需更强大的计算能力。

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