全国100所名校最新高考冲刺卷英语2023届Y1

2023-11-03 23:36:31 14℃

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4.What made Dan Fischer start the project?8.Why did Turing design the test?A.His love for the ocean.B.The support from strangers.A.To save time in the argument.B.To decide which conversation is right.C.His longing for his dog.D.The way he honored his dadC.To check if computers can think.D.To help machines make conversations.5.What does the undeined wordoiudin Paragraph 4probably mean?A.Comfort.B.Happiness.C.Embarrassment.D.Loneliness9.What does Paragraph 3 mainly talk about?6.What impressed Fischer most?A.The importance of data.B.The origin of“deep learning”.A.The adventures on the sea.C.The function of neurons.D.The structure of the human brain.B.The love stories from other people.C.His surfboards covered with stories.D.The large number of the names received.10.What can be inferred about machine learning algorithms?7.Which of the following can be the best title for the text?A.They have replaced traditional monitors.A.The Success of Dan FischerB.They have been widely used in many fields.B.The Story of a Man and His FatherC.They have reduced the cost of medical software.C.The Curing Power of Fischer's Wave SurfingD.They have been accustomed to testing neural networks.D.The Cooperation Between Fischer and Strangers11.What's the author's attitude to the future of machine learning?A.Cautious.B.Uninterested.C.Curious.D.OptimisticWhat is machine leaming,and how does it work?In1950 mathematician Alan Turing arguedthat it's a waste of time to ask whether machines can think.Instead,he designed a game:A playerDhas two conversations,one with another human and one with a machine.Based on theirWhen the south coast of the USA is struggling with flood,it's easy to forget that wildfiscommunications,the player has to decide which is which..This“mimic game(模拟游戏)”wouldstill spreading in the West.Hurricanes,wildfires and rainstorms that cause disastersareserve as a test for artificial intelligence.strengthened by heat.But how would we program machines to play the game?Scientists say that we can teachCraig Fugate,former administrator of the Federal Emergency Management Agency (FEMAthem.just like teaching children.First,we feed them lots of data:anything from pictures ofobjectsto details of banking transactions.Then we tell the machines what to do with all that information.said,Tve been doing rescue work for over 30 years in FEMA.I can remember when FEMAProgrammers do this by writing lists of step-by-step instructions.Based on the patters they find,really big disasters.Maybe every four or five years.Certainly not multiple disasters inneythe machines develop a kind ofmodel"of how that system works.That has happened as the planet has warmed by almost two degrees Fahrenheit compared withthComplex models like this often require many computational steps.Programmers organize alllate 1800s.Average temperatures could rise by another two degrees by 2100,and even more ifcountries fail to cut their greenhouse gas emission.the processing decisions into each layer.These layers imitate the structure of the human brain,where neurons(神经元)send signals to other neurons.That'swhere“deep leaming'”comes from.If your job is about dealing with disasters,and natural disasters are becoming morefreqLots of machine leamning algorithms()are open-source.People have used these tools todo things from developing medical sofware to monitoring disasters.People are also finding moreyou are facing some problems,the most serious of which is shortages of people and money.Craigand more complicated applications,some of which will automate things we are used to.ikesaw this a few years ago when a big flood was predicted for Bangladesh at a timeheusing neural networks to help run driverless cars.intemational aid agencies were focused on the war in Syria.Also,with more disasters,iConsidering the complexity of the task,some of these applications will require complicatedquickly disappears from the headlines n newspapers when the nextne hits.seswho still need help can feel abandoned.algorithmic tools.Although that still has a lot of leaming todo,stunning applications have begunto bear fruit.When pope faedier,atined oftim toget people and key in(基t础设淘2022年“云教金榜”N41联考·冲刺测试卷英语·第3页（共8页）ouofm's way is viousefrective.For upgrading buingrbugsd uryin power linescn be put int practiee.Such mesecan bevre pinin thefre.The quickening pace oaisdemndsnhowever,mwork gets sowd by complicated paperwork inthe gove202年“云教金榜”N41联考·冲刺测试卷英语·第4页（共8页）

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