It was the first commercially available machine to employ artificial intelligence.
这是第一台具有商业价值的人工智能机器。
There is huge potential for artificial intelligence and machine learning to revolutionize agriculture by integrating these technologies into critical markets on a global scale.
人工智能和机器学习有巨大的潜力，可以通过将这些技术整合到全球的关键市场来彻底改变农业。
If a computer could fool a person into thinking that he were interacting with another person rather than a machine, then it could be classified as having artificial intelligence.
如果一台电脑能够迷惑一个人，让他以为正在和另一个人交流而不是一台机器，那么我们就可以认为这台电脑拥有人工智能。
But those in charge of the artificial intelligence hype are not so careful and they delight in exciting us and frightening us with the fiction of a machine that can think.
但是那些负责人工智能的宣传的人们就不这么谨慎了，他们就是喜欢看到我们对于机器会思考的幻想而感到惊讶和害怕。
Perfecting a robot that bridges the gap will call for advances in almost every facet of modern robotics: artificial intelligence, machine vision, mechanical and electrical design, signal processing.
完善一台填补空白的机器人几乎要求现代机器人每一方面的先进技术：人工智能、机器视觉、机械和电气设计、信号处理。
Most investors trying the approach are using "machine learning, " a branch of artificial intelligence in which a computer program analyzes huge chunks of data and makes predictions about the future.
很多试过这种方法的投资者都在使用“机器学习”，这是人工智能的一个分支，通过该技术，计算机会分析大量数据，从而对未来作出预测。
In artificial intelligence, there are several categories of problems, one of which is machine learning.
在人工智能领域，有几类主要的问题，机器学习就是其中之一。
Tom Mitchell, a professor of artificial intelligence and machine learning at Carnegie Mellon University, said the February meeting had changed his thinking.
卡耐基·梅隆大学的机器学习和人工智能教授汤姆·米切尔表示，这次会议改变了他的观点。
Perhaps if Turing were alive today, he would define artificial intelligence as the inability of a computer to tell whether another machine is human!
如果图灵今天还活着的话，也许他会把人工智能形容成一个不能识别另一台电脑是不是人类的无能计算机！
Thiel sits on the board of the Singularity Institute for Artificial Intelligence, which concerns itself with the coming merger of man and machine.
希尔还是人工智能学院的董事，这个学院研究的是未来机器和人的混合体。
In programming this brain — a process that's still going on-microsoft relies on an advancing field of artificial intelligence called machine learning.
为大脑编写程序，微软主要依靠人工智能的前端领域—机器学习。
Google Translate has achieved more in machine translation than the rest of the world's artificial intelligence experts combined.
Google机器翻译的成就可以媲美并超越世界上所有人工智能专家的总和。
Software robot simulators not only simplify development work for robotics engineers, but they also give researchers a tool for studying artificial intelligence (AI) algorithms and machine learning.
软件机器人模拟器不但简化了机器人工程师的开发工作，还为研究人工智能(artificial intelligence,AI)算法和机器学习提供了工具。
When researchers usually select problems for "Artificial Intelligence" to solve, they return to a handful of favorites: Can a machine outplay a human at a game like chess or poker?
一般，在研究人员挑选要让“人工智能”去解决的问题的时候，他们还是会去找那一些自己最喜欢的问题：机器在象棋或扑克上能不能超过人类？
The report suggests that, over the next decade, big data, machine learning, and artificial intelligence will be integrated seamlessly into the structure of many different organizations.
这份报告显示，在下一个十年，大数据、机器学习和人工智能将无缝对接到许多不同公司的结构体系中。
Alternatively, to say that Artificial Intelligence could never produce a thinking machine is to be committed to the idea that there is more to thinking than a mere mechanical activity.
而如果你说人工智能技术永远不可能制造出一台会思考的机器，那么你就认为思考不仅仅是机械活动。
Notice that the question here is whether Artificial Intelligence could produce a thinking machine, not whether it will.
注意，我们探讨的是人工智能有没有可能制造出一台能思考的机器，而不是会不会制造出来。
Machine learning, a branch of artificial intelligence, can generate remarkably accurate predictions.
机器学习是人工智慧的一个分支，它可以生成精确的预测。
Google has shoveled vast financial and engineering resources into a collection of data mining and artificial intelligence systems, from speech recognition to machine translation to computer vision.
谷歌把大量财力和技术资源投入到了一系列数据挖掘和人口智能系统之中，从语音识别到机器翻译再到计算机视觉，不一而足。
Just because of this, for the realization of the ultimate goal of artificial intelligence (AI), the development of machine consciousness has become an unavoidable difficult frontier issue.
正因为如此，对于人工智能终极目标的实现而言，开展机器意识也就成为其绕不开的一个前沿性难题。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我已经感兴趣的领域(包括人工智能，机器学习，自然语言处理，和模式识别)大量的使用到数学。
As an important application of Artificial Intelligence, automatic machine face recognition is a challenging and difficult task.
作为人工智能的一个重要应用，人脸机器自动识别是一项极具挑战性的难题。
This study will definitely not only improve the research and development of artificial intelligence and machine translation but also be of great help with teaching Chinese as a foreign language.
它们不仅有助于消除书面语的歧义，推动人工智能和机器翻译的研究和开发，而且能更好地服务于对外汉语教学，提高人们的语言应用能力。
SEP14 deploys advanced machine learning on both the endpoint and in the cloud, while taking advantage of additional artificial intelligence mechanisms in the cloud.
SEP14 部署先进的机器学习这两个终结点上和在云彩中，同时利用额外的人工智能机制在云中。
Machine learning is a branch of artificial intelligence, which itself is a branch of computer science.
机器学习是人工智能的一个分支，人工智能是计算机科学的一个分支。
In the domain of computer science, MIT faculty and researchers made fundamental contributions to cybernetics, artificial intelligence, computer languages, machine learning, robotics, and cryptography.
在计算机科学领域，麻省理工学院的教授和研究人员作出的贡献基本控制论，人工智能，计算机语言，机器学习，机器人技术和加密技术。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我感兴趣的领域(包括人工智能，机器学习，自然语言处理和模式识别)大量用到数学。
Machine learning is an important branch of artificial intelligence.
机器学习是人工智能的一个重要分支。
Search engine technology related to natural language understanding, Chinese word segmentation, artificial intelligence, machine learning and so on.
搜索引擎的技术涉及到自然语言理解、中文分词、人工智能、机器学习等学科。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
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