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[hide]Will My PC Be Smarter Than I Am? 我的电脑是否将比我还聪明？ （ 二 ）
一旦我们学会如何描绘我们的大脑，并且使电脑快到能模仿它，那么它将聪明到怎么说都不为过 。
我在找寻让我感到幸福和快乐的东西
Once we learn how to map the brain and make computers fast enough to simulate it, all bets are off
[4]More important, however, is the software of intelligence. A wondrous working model already operates: the human mind. There is no reason why we cannot reverse-engineer the human brain and copy its design. Today, we can map the brain with noninvasive scanners. Even more salient information may come from an interior view of the brain. By 2030, we may scan the brain using"nanobot" technology. Nanobots are robots the size of human blood cells or even smaller. Deployed by the billion, they could explore every capillary and even be guided in for up-close inspections of neural details. Using high-speed wireless connections, the nanobots would communicate with one another and with other computers that are compiling the brain-scan database.
[4]然而，更重要的是智能软件。一 神奇的实用模型早就在运行：人的大脑。没有理由说，我们不能揭开人类大脑之谜，仿制它的设计方式。今天，我们可以用非切开式扫描仪来探测大脑。从大脑内部观测可能获得更显着的信息。到 2030 年，我们可能采用“毫微自动仪”技术来对人脑进行扫描。毫微自动仪是人血液细胞大小或者甚至更小的机器人。这些机器人以十亿计的数量使用，它们能探测每一个毛细管，甚至能被导引进去，对神经细节进行近距离检测。使用高速无线连接，这些毫微自动仪能相互联络，以及 编制大脑扫描数据库的电脑沟通。。
[5]Armed with this information, we can design biologically inspired re-creations of the methods used by the human brain. After the algorithms of a region are understood, they may even be improved upon before being uploaded to thinking machines. Granted, understanding what part in the big computational picture each neuron and neural structure plays is complex, but not beyond our ability to model. To lick the challenge, scientists can utilize systems that make computations 10 million times faster then that of our old-fashioned electrochemical brain. Scientists at several laboratories around the world have already built integrated circuits that match the digital and analog information-processing characteristics of biological neurons, including clusters of hundreds of neurons.
[5]掌握了这一信息，我们就能够设计出人脑使用的生物刺激再造法。理解了一个区域的规则系统之后，还可以将它们加以改进，然後才上载到思考器。要理解每一个神经细胞和神经架在这个巨大的计算图象中发挥那些作用当然是复杂的，但也并未超出我们模仿的能力。为战 这一挑战，科学家们可以利用比旧式的电化学大脑快 1,000 万倍的计算系统。世界上有数所实验室的科学家们已经建造了与生物神经细胞（包括数以百计的神经细胞组）的数字 模拟信息处理特征相匹配的集成电路。
[6]By the third decade of the 21st century, we will understand the construction and function of the mind in minute detail and be able to re-create these designs in suitably advanced neural computers. By that time, computers will greatly exceed the basic computational power of the human brain. The result will be machines that combine the complex and rich skills of humans with the speed, accuracy and knowledge-sharing ability that machines excel in.
[6]到 21 世纪 30 年代，我们将能够了解大脑中超细微细节部分的 造和功能，也能够在相当先进的神经计算机中再造这些设计。到那个时候，计算机将大大超过人脑的基本计算能力。其结果是将出现这些 器：它们既有人类的复杂而丰富的技能，又有超过人类的速度、精神性和知识分享能力。
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