【正文】 ries 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(shuō)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(yíng)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(píng)果、Facebook和谷歌愿意開(kāi)出六位數(shù)高薪，聘請(qǐng)熟練的專(zhuān)業(yè)人員編寫(xiě)軟件。這說(shuō)明深度學(xué)習(xí)能幫助編寫(xiě)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(yíng)利性教育機(jī)構(gòu) 進(jìn)入了它開(kāi)辦深度學(xué)習(xí)課程的第三年。也就是說(shuō)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(xiě)AI軟件的人都能學(xué)習(xí)這門(mén)技術(shù)?；羧A德說(shuō)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(shuō)No. Greek. Letters”沒(méi)有，希臘，字母“是想說(shuō)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?xún)?，那么讓AI軟件開(kāi)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(kāi)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(lèi)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 Slowly but surely we39。re moving closer and closer to 5G world. From smarthome security to selfdriving cars, all the internetconnected devices in your life will be able to talk to each other at lightningfast speeds with reduced delay, Objectively speaking, the fastest 4G download speeds in the U. S. top out at an average of Mbps. But by parison 5G promises gigabit (千兆) speeds. 5G is one of those signs, along with artificial intelligence, of this ing data age, said Steve Koenig, senior director of market research for the Consumer Technology Association. The selfdriving vehicle is a great emblem of this data age, and that is to say, it is a sign of time, because with one single task, driving, you have massive amounts of data ing from the vehicle itself, and a variety of sensors are collecting a lot of information to model its environment as it moves. It39。s pulling in data from other vehicles about road conditions down the lane. It could be weather information, but also connected infrastructure (基礎(chǔ)設(shè)施) construction. There39。s lots of data behind that task, which is why we need high speed. Augmented reality glasses and virtual headset haven39。t yet broken the mainstream, but tech panies are joyfully betting that these devices will eventually replace our smartphones. With 5G, that could actually happen. This is notable because panies such as Apple are reportedly developing AR glasses to assist — or perhaps even replace — smartphones. Ericsson stated at February39。s Mobile World Congress how smart glasses could bee faster and lighter with a 5G connection, because instead of being weighed down with ponents, the glasses could rely on hardware for processing power. But don39。t get too excited. There39。s still a lot of work to be done in the meant