【正文】 60。D.Be related to（3）Which of the following jobs is the most likely to be replaced? A.The writer.B.The shop assistant.C.The babysitter.D.The psychologist.（4）Which of the following suggestions can the author give about job replacement of AI? A.Limit the application of AI to a certain degree.B.Get more support from the government.C.Apply for the donation from panies.D.Upgrade people39。s professional skills all the time.【答案】 （1）A（2）A（3）B（4）D 【解析】【分析】本文是一篇議論文，人工智能有取代人類工作的潛力,但是,并非所有工作都會被人工智能取代,有四種類型的工作完全沒有風險。因此,在人工智能時代人類仍然會有工作,關鍵必須是對勞動力進行再培訓,這樣人們才能從事這些工作。 （1）考查推理判斷。根據(jù)第一段可知一個名叫奈杰爾理查茲（Nigel Richards）的人在短短九周內記住了《法國拼字游戲詞典》中的386,000個單詞。但是,他不會說法語。其展示了人工智能是如何工作的。而后文主要與人工智能有關,由此推斷作者寫第一段的目的是引出人工智能這個話題。故選A。 （2）考查詞義猜測。根據(jù)第二段中的“Because AI can outperform humans at routine tasks—provided the task is in one field with a lot of data”可知AI可以在日常任務中outperform人類（前提是該任務在一個涉及到大量數(shù)據(jù)的領域中；以及“it is technically capable of replacing hundreds of millions of white and blue collar jobs in the next 15 years or so.”可知從技術上講,人工智能具有在未來大約15年里取代成千上萬的白領和藍領工作的能力。結合下文推斷人工智能能夠具有取代人類的工作是因為AI在日常任務中表現(xiàn)超過了人類,劃線詞的意思是勝過,超過,故選A。 （3）考查細節(jié)理解。根據(jù)第三段中的“First, there are creative jobs. AI needs to be given a goal to optimize. It cannot invent, like scientists, novelists and artists can.”可知四種類型的工作完全沒有風險。首先,有創(chuàng)造性的工作。人工智能不可能像科學家,小說家和藝術家那樣進行發(fā)明創(chuàng)造。也就是作家和科學家不會被取代。排除A；再根據(jù)第四段中的“as the fourth type is much larger: jobs where emotions are needed, such as teachers, nannies and doctors.”可知需要情感的工作,例如老師,保姆和醫(yī)生也不大可能被取代,因此排除C和D。故選B。 （4）考查推理判斷。根據(jù)最后一段中的“So there will still be jobs in the age of AI. The key then must be retraining the workforce so people can do them.” 可知作者認為在AI時代仍然會有工作,關鍵必須是對勞動力進行再培訓,這樣人們才能從事這些工作。進行培訓是為了得到專業(yè)技能,由此推斷作者會給出一直提升人們的專業(yè)技能的建議,故選D。 【點評】本題考點涉及細節(jié)理解，詞義猜測和推理判斷三個題型的考查，是一篇科技類閱讀，考生需要準確掌握細節(jié)信息，并根據(jù)上下文進行邏輯推理，從而選出正確答案。7．閱讀理解 Learning, Fast and Deep Over the past five years researchers in artificial intelligence have bee the rock stars of the technology world. A branch of AI known as deep learning, which uses neural(神經的) networks to scan through large volumes of data looking for patterns, has proven so useful that skilled practitioners can mand high sixfigure salaries to build software for Amazon, Apple, Facebook and Google. The standard route into these jobs has been a PhD in puter science from one of America39。s top universities. Earning one takes years and requires a personality suited to academia, which is rare among more normal folk. That is changing. Last month , a nonprofit education organization based in San Francisco, kicked off the third year of its course in deep learning. Since its foundation it has attracted more than 100, 000 students around the globe from India to Nigeria. The course and others like it, e with a simple idea: there is no need to spend years obtaining a PhD in order to practise deep learning. Creating software that learns can be taught as a craft, not as a high intellectual pursuit to be undertaken only in an ivory tower. Fast. ai39。s course can be pleted in just seven weeks. To make it accessible to anyone who wants to learn how to build AI software is the aim of Jeremy Howard, who founded with Rachel Thomas, a mathematician. He says school mathematics is sufficient. No. Greek. Letters, Mr. Howard intones, pounding the table with his fist for punctuation. Some experts worry that this will serve only to create a flood of unreliable AI systems which will be useless at best and dangerous at worst. In the earliest days of the Internet, only a select few nerds, namely puter holies with specific skills, could build applications. Not many people used them. Then the invention of the World Wide Web led to an explosion of web pages, both good and bad. But it was only by opening up to all that the Internet gave birth to online shopping, instant global munications and search. If Mr. Howard and others have their way, making the development of AI software easier will bring forth a new crop of fruit of a different kind.（1）What can we learn about deep learning? A.It replaces artificial intelligence.B.It attracts rock stars to practice.C.It scans patterns for large panies.D.It helps technicians to create software.（2）Fast. ai is an organization that . A.ensures one to obtain a PhDB.teaches craft in ivory towerC.offers a course in deep learningD.requires weeks to apply（3）The underlined words No. Greek. Lettersin Paragraph 5 means doing course is . A.easyB.difficultC.interestingD.boring（4）It can be inferred from the last paragraph that . A.it is quite reliable for anyone to grasp artificial intelligenceB.the Internet has brought forth a flood of useless AI systemsC.opening up to all leads to instant global search and online shoppingD.simplifying software development may result in unexpected outes【答案】 （1）D（2）C（3）A（4）D 【解析】【分析】本文是一篇說明文，人工智能的深度學習被證明很有用，霍華德和數(shù)學家托馬斯一起創(chuàng)辦的非營利性教育機構致力于讓深度學習變得簡單。 （1）考查細節(jié)理解。根據(jù)第一段中的”A branch of AI known as deep learning, which uses neural networks to scan through large volumes of data looking for patterns…build software for Amazon, Apple, Facebook and Google.“可知AI技術的一個分支、運用神經網絡處理大量數(shù)據(jù)并從中尋找模式的深度學習被證明非常有用，亞馬遜、蘋果、Facebook和谷歌愿意開出六位數(shù)高薪，聘請熟練的專業(yè)人員編寫軟件。這說明深度學習能幫助編寫軟件，故選D。 （2）考查細節(jié)理解。根據(jù)第四段中的”Last month fast. ai, a nonprofit