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Now this is not the kind of stuff that computer scientists spend all their time doing, but it will germane.
现在，这并不是计算机科学家,要花费全部时间的地方，不过与此密切相关。
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Alright, when I was an undergraduate, I was Computer Engineering and Math.
我本科的时候学的是计算机工程与数学。
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And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.
问题的答案是这样的,与出于商业目的而制造的计算机不同,大脑采用并行加工的方式处理信息,采用广泛分布的并行加工
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You just need to come up with a convention that maps the numbers that are very easy for a computer to store.
你只需要提出一个使之与数字对应的协定,那样计算机就可以方便地存储它们。
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And part of the reason for putting it up is that I want to, as much as possible, answer that question by separating out the mechanism, which is the computer from computational thinking. Right.
提出这个问题的原因有一部分在于,我想尽量，将计算机与,计算思维分开,来回答它。
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Now, I think it is plausible to suggest that unlike the case of chess-playing computers, we don't yet have machines that feel things.
现在,我想我们有理由认为,与象棋计算机的例子不同,我们现在还没有能感觉事物的机器
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Engineering - meaning computer science-related engineering.
这里的工科指的是与计算机相关工程科学。
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Well, the infinity mechanism, and many of you will be familiar with this from mathematics or computer science, is recursion.
这种无限机制是递归的,你们许多人会在数学与计算机科学中,熟悉这个词
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But the technology and the fundamentals and the ideas, it's pretty much exactly the same as we're using today in some of our modern computers.
但是那个时候的技术，基本原理，以及相应的想法与,现代计算机完全一致。
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Your computer works on wires and electricity but your brain uses tissue and tissue is extremely slow.
你的计算机依靠电线与电流而得以运行,但你的大脑应用的则是组织,而组织的反应则是相当缓慢的
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But whatever your reason for being here this is in fact our introduction to Computer Science; and contrary to what you might have heard or seen or perceived in high school, odds are computer science is not quite what you imagined it to be.
但是不管你们来这儿的原因是什么,这门课介绍的都是计算机科学,可能与你们平时听到的看到的,或者在高中时所想象的恰好相反,计算机技术的优势完全不是你想象的那样。
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