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Artificial intelligence products are not new. However, researchers have been working to improve the technology. Now virtual 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 has been tasked with passing a multiple-choice exam. The goal is to improve machines’ language understanding and logic with so-called computer vision.

A system named Aristo was developed by the Allen Institute for Artificial Intelligence, 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 decrease the food supply they need.

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 AI 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.What does the sixth paragraph talk about?

A.How Aristo teaches itself. B.How Aristo reads English articles.

C.How Google developed BERT. D.How Google designed Aristo.

4.What can we learn from Jingjing Liu’s words?

A.AI will soon replace humans in many tasks.

B.Aristo still cannot compare to human reasoning skills.

C.Humans can’t live without AI in the future.

D.Aristo performs better with a larger database.

高二英语阅读选择中等难度题

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