【正文】 。 （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(jīng)網(wǎng)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 education organization based in San Francisco, kicked off the third year of its course in deep learning.“可知。上月，位于舊金山的非營利性教育機構 進入了它開辦深度學習課程的第三年。也就是說fast. ai是一個提供深度學習課程的組織，故選C。 （3）考查句義猜測。根據(jù)五段中的”To make it accessible to anyone who wants to learn …He says school mathematics is sufficient.“可知讓深度學習不再神秘是杰里米霍華德的目標，為此，他和數(shù)學家雷切爾，讓任何想學習編寫AI軟件的人都能學習這門技術?；羧A德說有中學數(shù)學知識就足夠了。，僅需要中學數(shù)學知識。因此霍華德說No. Greek. Letters”沒有，希臘，字母“是想說fast, ai的深度學習課程很簡單。故選A。 （4）考查推理判斷。根據(jù)最后一段中的”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. “如果霍華德和其他人如愿以償，那么讓AI軟件開發(fā)變得更容易將會催生出一批新的不同的果實。由此推斷簡化軟件開發(fā)可能會導致意料之外的結果。故選D。 【點評】本題考點涉及細節(jié)理解，句義猜測和推理判斷三個題型的考查，是一篇科研類閱讀，要求考生準確掌握細節(jié)信息，同時根據(jù)上下文的邏輯關系，進行分析，推理，從而選出正確答案。8．閱讀理解 Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed. AI experts say that in many cases, attempts to make robots understand humor end up producing funny results, but not in the way they were supposed to. Tristan Miller studied more than 10,000 puns in one research project. The pun is a kind of joke that uses a word with two meanings. For example, you could say, “Balloons do not like pop music. The word pop can be a way of saying popular music。 or can mean the sound a balloon makes when it explodes. But a robot might not get the joke. Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand. Allison Bishop is a puter scientist and she also performs standup edy. She explained that machines are trained to look for patterns. Comedy, on the other hand, relies on things that stay close to a pattern, but not pletely within it. To be funny, humor should also not be predictable, Bishop said. This is a great challenge for a machine to recognize and understand what is funny. Bishop says since robots have great difficulty understanding humor, she feels like it gives her better job safety as a edy performer. It even made her parents happy when her brother decided to bee a fulltime edy writer because it meant he wouldn39。t be replaced by a machine, she added. Despite the difficulties, Darmstadt University39。s Miller says there are good reasons to keep trying to teach humor to robots. It could make machines more relatable (敘述的), especially if they can learn to understand sarcasm (諷刺), he noted. Humans use sarcasm to say one thing but mean another. But Kiki Hempelmann thinks differently. Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable, he said. Maybe bad AI will start killing people because it thinks something is funny, he added.（1）What does the author most probably want to show in Paragraph 1? 39。 influence on the scientific development.39。 challenges of making sense of humor. scientists39。 devotion to technical skills. scientists39。 concern about AI39。s development.（2）What are examples mentioned in Paragraphs 2 and 3 intended to do? robots do poorly in funny work robots aren39。t as intelligent as humans language is plex and changeable language can39。t be taught in a set pattern（3）What can we infer about teaching AI system humor from the last paragraph? will make no difference. may be a doubleedged sword. may help improve humans39。 humor. will attract more puter scientists.（4）Where would the passage most probably e from? journal speech【答案】 （1）B（2）D（3）B（4）C 【解析】【分析】本文是一篇說明文，工程師很難讓機器創(chuàng)造幽默。對于機器人是否應該被教授幽默，不同的科學家有不同的見解。 （1）考查推理判斷。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed.”可知，計算機科學家希望賦予機器人技術技能，幫助它們識別、處理和應對幽默。但這些嘗試大多以失敗告終。通過第一段作者想要展示的是讓機器人理解幽默是有挑戰(zhàn)性的。故選B。 （2）考查推理判斷。根據(jù)第二段中的“Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand.”特里斯坦米勒說，這是因為幽默是一種創(chuàng)造性的語言，對計算機智能來說是非常難以理解的；第三段中的“This is a great challenge for a machine to recognize and understand what is funny.”對于機器來說，識別和理解什么是有趣的是一個巨大的挑戰(zhàn)，可推斷，這兩個例子是用來說明語言不能用固定的模式來教授的。故選D。 （3）考查推理判斷。根據(jù)最后一段中的“‘Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable,39。 he said. ‘Maybe bad AI will start killing people because it thinks something is funny,39。 he added.“教人工智能系統(tǒng)幽默可能會讓它們在不適合的地方找到幽默，也可能在不適合的地方使用它”，他說。“也許壞的人工智能會開始殺人，因為它認為有些東西很有趣”他補充說道，可推斷出，教授人工智能系統(tǒng)幽默可能是一把雙刃劍。故選B。 （4）考查推理判題。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor.”計算機科學家希望給機器人技術技能，以幫助他們識別，處理和反應幽默，可知，本文講述了教授機器人幽默，因此推斷這篇文章很可能選自科學雜志。故選C。 【點評】本題考點涉及推理判斷題型的考查，是一篇科技類閱讀，考生需要根據(jù)上下文進行邏輯推理，從而選出正確答案。9．閱讀理解 If you live in a place where most people speak the language you are learning, you may use the language for several hours each day. So it may bee part of your inner speech. In other words, you start thinking in that language. Your mind stops trying to translate things from your native language into the second language. But most of the English learners live in places where English is not the main language. This may be true for you. You may not have many chances to practice English. You may even be selftaught. Thinking in English really helps! It is not very difficult, but it does need practice. Here we will share some mental exercises. A good first step is to think in words. Look around you. What do you see? In your head, try to name each object in your surroundings. Charles Thomas has taught English for over 10 years. He tells his students to name the things that they see around them, wherever they are. Another exercise Thomas suggest is describing in your mind objects you don39。t know the words for. An example would be if you couldn39。t think of the word garage. Thomas says, If you39。re looking at your house and you see your garage, but you can39。t think of the name in English. You can say, 39。The