【正文】 閱讀，要求考生在捕捉細(xì)節(jié)信息的基礎(chǔ)上，進(jìn)一步根據(jù)上下文的邏輯關(guān)系，進(jìn)行分析，推理，概括和歸納，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(jīng)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(xué)習(xí)被證明很有用，霍華德和數(shù)學(xué)家托馬斯一起創(chuàng)辦的非營利性教育機(jī)構(gòu)致力于讓深度學(xué)習(xí)變得簡(jiǎn)單。 （1）考查細(xì)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(shù)的一個(gè)分支、運(yùn)用神經(jīng)網(wǎng)絡(luò)處理大量數(shù)據(jù)并從中尋找模式的深度學(xué)習(xí)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(qǐng)熟練的專業(yè)人員編寫軟件。這說明深度學(xué)習(xí)能幫助編寫軟件，故選D。 （2）考查細(xì)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(jī)構(gòu) 進(jìn)入了它開辦深度學(xué)習(xí)課程的第三年。也就是說fast. ai是一個(gè)提供深度學(xué)習(xí)課程的組織，故選C。 （3）考查句義猜測(cè)。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(xué)習(xí)不再神秘是杰里米霍華德的目標(biāo)，為此，他和數(shù)學(xué)家雷切爾，讓任何想學(xué)習(xí)編寫AI軟件的人都能學(xué)習(xí)這門技術(shù)?；羧A德說有中學(xué)數(shù)學(xué)知識(shí)就足夠了。，僅需要中學(xué)數(shù)學(xué)知識(shí)。因此霍華德說No. Greek. Letters”沒有，希臘，字母“是想說fast, ai的深度學(xué)習(xí)課程很簡(jiǎn)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(huì)催生出一批新的不同的果實(shí)。由此推斷簡(jiǎn)化軟件開發(fā)可能會(huì)導(dǎo)致意料之外的結(jié)果。故選D。 【點(diǎn)評(píng)】本題考點(diǎn)涉及細(xì)節(jié)理解，句義猜測(cè)和推理判斷三個(gè)題型的考查，是一篇科研類閱讀，要求考生準(zhǔn)確掌握細(xì)節(jié)信息，同時(shí)根據(jù)上下文的邏輯關(guān)系，進(jìn)行分析，推理，從而選出正確答案。8．閱讀理解 If American waterways had ever been voted on the yearbook, the Buffalo River could easily have been named Ugliest. It could be hard to find hope there. It took decades for public perception of the river to shift. But activist citizens, who collaborated with industry, government, and environment groups never gave up on their polluted river—the Buffalo River gradually went from being considered a lost cause to a place worth fighting for. And by now the cleaned—up water is one of Buffalo39。S biggest attractions. By the 1960s, the river was seen as one of the worst sources of pollution pouring into the Great Lakes. The Buffalo River had caught fire many times. The surface had an oily layer, and any fish caught there were not eatable. The waterway39。s fate started shifting in the mid1960s. Stanley Spisiak was a local Polish—American jeweler by day, but by evening he was the kind of guy who39。d chase down dumpers(垃圾車)he spotted on the Buffalo River. By 1966 he found himself winning the National Wildlife Federation39。s Water Conservationist of the Year award. And before long he got a nickname: