Question

【题目】 AI（人工智能）products are not new. However, researchers have been working to improve the technology. Now virtual（虚拟的）assistants, like Siri and Alexa, can have short conversations with us. AlphaGo taught itself to play Go and became better than the top human players.

Now an AI system （系统）has been tasked with passing a multiple-choice （多项选择） exam. The goal is to improve machines' language understanding and logic（逻辑）with so-called computer vision（视觉）.

A system named Aristo was developed by the Allen Institute for AI, a lab in the United States city of Seattle. It recently passed an eighth-grade science exam taken by many US students. The New York Times reported. It correctly answered more than 90 percent of the questions. Then it was given a twelfth-grade exam, it scored more than 80 percent.

It's an example of the progress in AI development. Four years ago, 700 computer scientists tried to develop AI systems that could pass these kinds of exams. None scored higher than 60 percent.

Aristo was able to pass the exams because it can not only understand language but also use logical thinking to solve difficult problems. For example, it can understand what a forest fire is and how it could endanger animals like squirrels or make the food supply they need less.

The system used BERT, a kind of neural （神经的）network technology developed by Google, to answer the questions. BERT has "read" thousands of English articles. If it looks at a sentence with a missing word, it can correctly guess what the word is. With BERT’ s help. Aristo "read" many multiple-choice questions and answers. Over time, it was able to find logical patterns on its own.

It may still be in the earliest stages, said Jingjing Liu, a Microsoft researcher who has been working on similar technologies. “We can't compare this technology to real human students and their ability to reason."

However, Aristo's success means that Al systems are getting better at understanding users, and we might see improved search engines and hospital databases （数据库）in the near future.

【1】Why did scientists develop Aristo?

A.To make better multiple-choice exams.

B.To improve AI's ability to teach itself.

C.To shorten the time AI needs to "read" information.

D.To improve the language understanding and logic of AI.

【2】What can we know about Aristo from its exam results?

A.It was smarter than most US students.

B.It could only deal with science questions.

C.It was best at understanding English.

D.It did better than other AI systems in similar tasks.

【3】The sixth paragraph mainly talks about how__________ .

A.Aristo teaches itselfB.Aristo reads English articles

C.Google developed BERTD.difficult it was to design Aristo

【4】What can be learned from Jingjing Liu's words?

A.AI will soon take the place of humans in many tasks.

B.Aristo still cannot compare to human reasoning skills.

C.Humans can't live without Al in the future.

D.Aristo can score more than 80 percent in a twelfth-grade exam.

Answer 1

【答案】

【1】D

【2】D

【3】A

【4】B

【解析】

本篇讲述AI技术的发展，艾伦人工智能研究所开发的一个名为Aristo的系统运用谷歌开发的神经网络技术，可以“读”出许多选择题和答案，随着时间的推移，它能够找到自己的逻辑模式，在考试中取得超过百分之九十的准确率。研究人员指出，AI的技能仍然无法与人类的推理能力相比。

【1】细节理解题。根据第二段“The goal is to improve machines' language understanding and logic with so-called computer vision”，可知“科学家开发, Aristo的目的是提高人工智能的语言理解能力和逻辑理解能力。”；故选D。

【2】细节理解题。根据第四段“It's an example of the progress in AI development…. None scored higher than 60 percent.”，可知“Aristo在类似的任务中，它比其他人工智能系统做得更好。”；故选D。

【3】推理判断题。第六段陈述 “Aristo运用谷歌开发的BERT系统，在BERT的帮助下，Aristo 可以“读”出许多选择题和答案，随着时间的推移，它能够找到自己的逻辑模式 ”，可知本段陈述关于“Aristo如运行、完成任何”；故选A。

【4】推理判断题。由上文可知“Aristo能解决问题有赖于谷歌开发的神经网络技术，找到自己的逻辑模式” ，这种技术不能与人类的自主的推理判断相比较；可知“Aristo仍然无法与人类的推理能力相比。”；故选B。