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Hello,everyone，this is Sara. Welcome to Ted Notes, made by 爱学英语ILearn English. 小伙伴儿们可以在微信公众号或者喜马拉雅搜索“爱学英语English”，订阅或者关注我的专辑哦~欢迎来到每周末更新的《Ted Notes》，首先了解一下主要内容。
今天的演讲者是一名在Google从事人工智能算法的程序员，他讲解了人工智能的两大方面：感知和创造，感知就是通过将世界上的声音和图片转化成脑海中的概念的过程。而创造则是逆向过程，将一个概念转变成某个实体。二者之间的关系是很微妙，我们通过感知进行创造，比如我们见过很多鸟类，所以即便有一种陌生的鸟类，我们依然能够识别出来它是一只鸟，另外，我们也可以根据自己脑海中鸟类的样子，绘画出一只鸟。那么这个过程就依靠了大脑中进行感知和创造的核心，那就是神经元，神经网络。基于此，计算机可以通过神经网络算法进行感知和创造，从而达到人工智能水平。接下来，就让我们见识一下人工智能的神奇所在吧。
Historically,one of machine intelligence has been perception[1],the process by which things out there in the world---sounds and images---canturn into concepts[2] in the brain. The flip[3] side of perception is creativity: turning aconcept into something out there into the world. The dual[4] relationship between perception and creativityis that we create by perceiving.
The organthat dose all the thinking, perceiving and imagining, of course, is the brain.The core cells[5] of the brain are neurons[6] which transfer the information by bioelectricity[7] in different neurons branches. Take the visualcortex[8] as an example. The basic idea thatvisual cortex works is passing information of color, light or shape one to thenext in a brain neural network.
So acomputer model for processing visual information would do the same thing byusing neural network algorithm[9]. It isessentially a set of neurons connected to each other in a neural network. Thisis called machine learning. In the reverse way, computers can also create byneural network. So I think the computer science give us both the ability tounderstand our own minds better and to extend them.
[1] perception [pɚ'sɛpʃən] n. 知觉；感觉；看法；
perceive v. 感知；领悟
Our perceptions of death affect the way we live.
我们的死亡观影响着我们的生活方式。
[2] concept ['kɑnsɛpt] n.概念
It’s difficult for people to accept some newconcepts from western countries.
人们很难接受一些西方的新式概念。
[3] flip [flɪp] v.翻动
flip through 浏览，翻阅
flip side 反面，另一面
[4] dual ['dʊəl] adj. 双重的
The processor works better with dual core.
双核处理器的性能更好。
[5] cell [sɛl] n. 细胞
There are multiple kinds of cells in our body.
我们人体有很多种不同的细胞。
[6] neuron ['nʊrɑn] n.神经元
neural adj. 神经的；神经系统的；
neurology n. 神经学
[7] bioelectricity ['baɪoɪlɛk'trɪsɪti] n. 生物电
biology n.生物学
[8] cortex ['kɔrtɛks] n. 大脑皮层
visual cortex 大脑视觉皮层
visual adj. 视觉的；可视的；
[9] algorithm ['ælgə'rɪðəm] n.算法
genetic algorithm 遗传算法
好啦，今天的《TED Notes》就到这里啦，我们了解了人工智能感知的过程，从而更加深刻的知道了大脑是如何工作的，如果你还对人工智能感兴趣的话，不妨亲自去搜一搜相关的知识，相信你会发现很多奇妙的事情，当然，如果有什么想和我们分享的，欢迎在下方评论哦~ Thank you for listening to 《TEDNotes》, this is Sara, have agood day, goodbye!
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