2018考研英语双语阅读：惊呆!机器人挑战高考数学!
2018考研复习进行时，考研英语阅读真题中的文章，多摘自英美主流外刊，有时候你认识所有单词、搞清全部语法还不够，还需要了解英美文化，掌握他们的表达方式，这就是阅读的潜台词。下面新东方网考研频道考研整理《2018考研英语双语阅读精选》，速来学习吧！AI robot takes college entrance math test
惊呆!机器人挑战高考数学，20分钟拿下105分!
A robot sat for the math test during China’s national college entrance
exam, or gaokao, in the southwestern city of Chengdu on Wednesday.
本周三，在西南城市成都，一个机器人参加了中国高考的数学测试。
The robot, AI-MATHS, consisting of 11 servers, was developed by Chengdu
Zhunxingyunxue Technology. It completed two versions of the exam’s math test on
Wednesday afternoon.
机器人名为AI-MATHS，由11个服务器组成，经成都准星云学科技有限公司研发。本周三下午，它完成了两套高考数学测试卷。
The robot finished the Beijing test in 22 minutes, scoring 105 points out
of 150 points, without Internet support. It scored 100 points on another version
of the test.
机器人在没有互联网支持下22分钟内完成了北京卷，得分105分，总分150分。它还在另一套考卷中得分100分。
"It would take two hours for a human to finish the test. I hope next year
the machine can improve its performance on logical reasoning and computer
algorithms and score over 130," said Lin Hui, the company’s CEO.
准星云学科技CEO林辉表示：“人类完成测试需要两个小时。我希望来年机器人在逻辑推理和计算机算法上能够取得更好的成绩，得分在130分以上。”
In February, the robot scored 93 on one math test, slightly higher than the
passing grade of 90.
二月份，这个机器人在一次数学测试中得分93分，稍高于过去的成绩90分。
The company participated in a project of China’s Ministry of Science and
Technology, which plans to develop gaokao robots.
该公司参与了中国科技部的一个项目，该项目计划研发高考机器人。
Under the plan, by 2020, AI robots will be smart enough to gain admission
to leading universities such as Peking University and Tsinghua University
through the entrance exam.
根据计划，到2020年，人工智能机器人将变得足够聪明，通过高考被北大、清华这样的顶尖大学录取。
"This is not a make-or-break test for a robot. The aim is to train
artificial intelligence to learn the way humans reason and deal with numbers,"
said Lin
林辉说道：“对于机器人来说，这并不是不成则败的测试。其目标是为了训练人工智能，学习人类推理和处理数字的方式。”
The robot has attempted 12,000 math questions, but an average high school
student needs to solve 30,000 questions before taking the gaokao, he said.
他说道，机器人已经刷过12000道数学题，但是一名普通高中生在高考前需要刷过30000道题。
AI may be faster than humans in dealing with numbers, but they are not good
at processing language.
人工智能在处理数字方面可能比人类要快，但是他们不善于处理语言。
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