Aspiring Minds教你如何才能打败阿尔法狗？

不过别担心，毕竟阿法狗是我们设计出来的，打败他还得靠我们自己的力量。

对此，Aspiring Minds的CTO Varun Aggarwal写了篇文章，告诉我们该如何打败阿法狗。

AlphaGo has just beaten Lee. Artificial intelligence has come off-age. It is becoming more and more powerful and is able to do a lot of things humans are good at. But there is another reality – if we combined the power of AlphaGo and Lee Se-Dol – AlphaGoLee, it will certainly defeat AlphaGo. Simply, there are some things machines can do well, some that humans can do well. If we combine the power of both, they together can defeat machines.

谷歌人工智能系统阿法狗把世界围棋冠军李世石打败了。这意味着，人工智能技术趋向成熟。机器已然越来越强大，居然能够干人类擅长的活了。但是，不妨考虑另一个真实的可能——如果我们让阿法狗和李世石强强联合，成为“阿法世石无敌狗”，那么打败阿法狗不在话下。简单说来，有些事情机器会做得很好，而有些只有人类才能做好。如果我们把这两者的力量完美结合起来，他们一定能打败机器。

This is a principle Aspiring Minds’ use in hiring humans – which machines have still not replaced! What we find is that if you combine power of machines (Artificial intelligence enabled assessments) with humans (interviews and crowd sourcing), we can do amazing matching of people to jobs much better than typical recruitment process.

这就是AspiringMinds在人才招聘中的基本理念——纵然很强大，但机器还不能完全取代人类！我们发现，如果把机器的力量（人工智能评估技术）与人类自有的属性（面试和群智）结合起来，人才招聘和职业匹配效果将远远超出传统招聘方式。

Take the example of evaluating english… machines or humans alone do as well to rate say on pronunciation and fluency, but when we combined machine learning with crowd sourced human raters, they did better in either in finding good english speakers. Our SVAR – automated spoken English assessment tool uses artificial intelligence and machine learning to automatically rate spoken English instantaneously.

就拿评估英语水平来说，机器和人都可以在发音和流利度上作出一定评判，但是如果我们把机器学习和人工评估结合起来，将会更好地帮助我们了解一个人的英语口语水平。我们的SVAR——自动化英语口语测评工具，结合人工智能和机器学习技术，即时性地评估英语口语水平——通过15分钟人机对话，涵盖整体英语口语水平的报告就会呈现在你面前了。

Similarly, for programming, humans dont do the best job in evaluating finding a programs efificency, programming practices in a limited period of time. They get tired! Machines do it super well, as in our product, Automata. And Automata when combined with humans, helps you hire the best programmers in a fast and reliable way.

同样，在程序员招聘中，传统的人工评估通常效率甚低，若还想要判断出程序员写出的代码运行效率和他的实际编程能力，就更费劲了。面试官花一下午盯着一两个程序员现场写代码，然后面试完所有程序员候选人（假定20个）要花一个星期，面试官不累我都累了。然而，若借助机器来评估程序员的编程水平，效率就会高很多。比如Aspiring Minds的Automata自动化编程能力测试工具，花一下午就可以帮你把一周的程序员招聘工作搞定！如此一来，将Automata与人工结合，就能快速高效地帮你找到那个最棒的程序员咯。

We strongly believe that artificial intelligence enabled assessments add tremendous value to recruitment processes and enable humans to become ‘super-humans’ in finding the best talent.

我们坚信，人工智能职业能力测评工具在人才招聘方面有着不可估量的价值，必定能有效帮助我们在寻找最佳人才方面变成 “超级人类”！