[翻译]揭开人工智能的神秘面纱,从不同维度解释什么是人工智能

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Swami Chandrasekaran 画了一张漂亮的AI全景图。你要不要来看一下

Demystifying Artificial Intelligence. What is Artificial Intelligence & explaining it from different dimensions.

AI-Demystified.png

当我写博客文章“通过Metromap成为数据科学家—课程”时,我几乎不知道它将收到令人振奋的反馈。首先,非常感谢!多年来,许多人以非常友善的话语与我联系,以及他们如何将其用作数据科学家之旅的指南。同样,许多人在演示文稿中寻求使用Metromap图片的许可,还有一些大学也伸出手将其用作课程提纲的一部分。写这篇文章使我意识到两件事,

When I wrote my blog post Becoming a Data Scientist — Curriculum via Metromap, little did I know that it will receive a rousing feedback. So a big THANK YOU first of all! Over years a lot of people reached out to me with very kind words and how they use it as a guide in their data scientist journey. Also, many who sought permission to use the Metromap picture in their presentations as well as a few universities that also reached out to use it as part of their syllabus. Writing that post made me realize two things,

  • 以消耗性和美学方式使用大图片隐喻呈现一个复杂的主题具有价值+使用价值。 Taking a step back, presenting a complex topic using a big-picture metaphor in a consumable and aesthetic fashion has value + use.
  • 吓坏我了,写我的下一篇文章。 Scared the pants off me to write my next post.

现在,我在将近四年的时间里写了一个与我的内心非常接近的话题,但又一次看到了很多令人困惑的毛病-人工智能(AI)。我敢肯定,包括我在内的许多人都会对以下内容说“是”,
Now here I’m after almost 4 years to write on a topic that is very close to my heart and yet again see a lot of confusing fluff floating around — Artificial Intelligence (A.I). I’m pretty sure many of you including me would say yes to the following,

  1. LinkedIn连接列表中的每个人的标题都带有AI。
  2. 大量有关AI变革行业的文章和世界末日的文章齐头并进。
  3. 看到的文章不仅令人迷惑和误导,而且往往不全面。
  4. 听到有人正在研究“ AI for X”,其中X可以是从治疗癌症到订购午餐的任何地方。
  5. Everyone in your LinkedIn connections list has AI in their title.
  6. Are getting flooded with articles that talk about A.I transforming industries and doomsday articles that go hand in hand.
  7. See articles that are not only confusing and misleading but also don’t tend to be comprehensive.
  8. Hear from someone is working on “AI for X”, where X can be anywhere from treating cancer to ordering lunch.

请原谅我过于概括了,但是我也看到有些人非常松散地使用AI一词,对他们在说什么绝对不知道/有什么想法。如果您试图避免使用它们,并试图找到“什么是AI?”的答案,那么您注定会充满矛盾的观点以及非常混淆的术语和定义。仅仅因为有人在使用深度学习库/软件包,并不意味着他们的系统是智能的。还有更多。因此,这是我通过图片进行的另一种适度尝试-“揭开AI的神秘面纱”。
Pardon me for overgeneralizing, but I also see of folks who very loosely use the word A.I and have absolutely no clue/idea about what they are talking about. If you try to avoid them and try to seek the answer for “What is AI?”, you are bound to get flooded with conflicting views and very obfuscated terms and definitions. Just because someone is using a deep learning library/package, that doesn’t mean their system is intelligent. There is more to it. So here is my yet another modest attempt to convey via a picture — “Demystifying AI”.

如果我必须为AI选择一个很好的开始定义,那么我将投票给John McCarthy's。他可能给出了最深刻但最简单的AI定义,
If I have to pick a great starting definitio