AI（人工智能）products are not new. However, researchers have been working to improve the technology. Now virtual（虛擬的）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 （系統(tǒng)）has been tasked with passing a multiple-choice （多項(xiàng)選擇） exam. The goal is to improve machines' language understanding and logic（邏輯）with so-called computer vision（視覺）.

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 （神經(jīng)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 （數(shù)據(jù)庫(kù)）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 itself B.Aristo reads English articles

C.Google developed BERT D.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.

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