2026年高考英语终极冲刺：压轴题01 阅读理解CD篇（人工智能类）（原卷版及全解全析）

3/17压轴题02阅读理解C、D篇命题预测分析近几年高考英语阅读理解C、D篇可知，人工智能类说明文是高频压轴题材，选材贴合时代热点，语篇多来自英美科技媒体、科研报告、高校研究发布，主题聚焦AI技术原理、应用场景、伦理争议、社会影响、未来发展等。文章逻辑性强、长难句多、专业术语常见，侧重考查信息定位、逻辑推理、主旨概括等高阶能力。2026年高考仍会将人工智能类作为C、D篇核心考查方向，命题更关注AI与教育、医疗、生活、科研、环保、版权等领域的结合，强调辩证思考与实际应用。高频考法推理判断题标题归纳题细节理解题词义猜测题主旨大意题6.观点态度题人工智能类说明文基本规律及解题要领高考人工智能类阅读通常无标题，结构稳定，逻辑清晰，一般分为四部分：首段：开门见山引出AI核心话题——新技术、新模型、新争议、新研究。背景：介绍AI发展现状、传统技术局限、现实需求或争议起源。主干：详细说明AI工作原理、功能特点、实验数据、应用场景、优势与问题。结尾：总结AI价值、未来前景、现存挑战、专家观点或社会反思。二、人工智能类说明文的解题技巧1.抓结构，快速把握主旨用略读法浏览首尾段+各段首尾句，圈出AI相关核心词（model/algorithm/LLM/chatbot/robot等）。人工智能类文章常见说明思路：技术介绍型：原理→特点→优势→应用→局限社会争议型：现象→正方观点→反方观点→作者态度研究发现型：实验目的→过程→数据→结论→展望2.定位标志词，精准破解细节与推理题干关键词：人名、机构、专业术语、数字、时间、转折词。长难句处理：先找主句谓语，剥离定语、状语、插入语，抓核心意思。答案原则：原文同义替换/合理概括，不主观臆断。3.重点关注观点态度与引语文中researchers/experts/developers/authorities所说的话，常是观点题、推理题题眼。把握情感词：positive/negative/concerned/skeptical/optimistic/cautious。4.紧盯转折逻辑，锁定核心信息AI类文章高频转折词：however/but/yet/while/although/ontheotherhand转折后往往是作者真正观点、核心问题、重要结论，是命题重灾区。5.熟悉选项陷阱，快速排除干扰正确选项：原文信息同义改写、合理归纳。干扰项：张冠李戴（把A的功能安到B）偷梁换柱（改变程度、范围、对象）无中生有（原文未提及）以偏概全（只讲局部当主旨）6.标题归纳技巧（AI类专用）必须包含AI/technology/model等核心概念。范围适中，不夸大、不缩小。常见格式：AI+功能/争议/未来/应用。02人工智能类1.（2026·青岛·一模）Artificialintelligence(AI)researchershavelongdreamedoftoolstosuperchargescience-askingnovelquestions,designingandrunningexperiments.Recently,largelanguagemodels(LLMs)havemadediscoveriesthatsomeAIdevelopersclaimhaveinchedusclosertothatfuture.ButhowdoyoutestwhetheranAImodelcantrulydoscience?Foranswers,researchersturntobenchmarks(基准):standardizedsetsofquestionsortasksthathelpmeasureanAI’sefficiencyandreliabilityandcompareitagainstothermodels.Butthecomplexityofsciencemakesassessingtheiraptitudeespeciallychallenging.AsHaoPeng,acomputerscientistattheUniversityofIllinoisUrbana-Champaign,putsit:“Modelshaveallthisknowledge.Dotheyknowhowtouseit?”Dozensofnewscience-focusedbenchmarkshaveemergedoverthepastyeartoanswerthatquestion,butscientistshaveyettosettleonasinglebestapproach.Oneofthemostpopular,publishedinNature,isHumanity’sLastExam(HLE).Ituses2500questionsdrawnfrom“thefrontierofhumanknowledge”toputLLMsthroughtheirpaces.One,forexample,askshowmanytypesofsensoryreceptorsthehumanskincontains.“Wewantedadiversedatasetthatonlyexpertswhohavebeenworkingonafieldforalongtimecananswer,”saysLongPhan,aresearchengineerwiththeHLE’sdeveloper.SincetheHLEfirstappearedasapreprintinJanuary2025,thebenchmarkhasbecomeanimportantprovinggroundforLLMsandHLEscoresarenowacommontalkingpointforAIcompaniesseekingtohighlightthecapabilitiesoftheirproducts.AttheHLE’slaunch,theleadingdeveloperOpenAI’sAImodelwonthebestscoreatamere8.3%.Earlierthismonth,Googleclaimedthatitslatestreasoningmodelforscience,calledGemini3DeepThink,hadachievedanewrecordHLEscoreof48.4%.ButsomescientistsarguethatmanyoftheHLE’squestionstestforlittle-knownorevenuselessknowledge,ratherthananabilitytodomeaningfulresearch.ANatureeditorialaccompanyingtheHLE’spublicationalsoraisedthisissue:“Wethinkthatmorescientistsshouldbeasking:WhatwouldittaketodevelopanAIbenchmarkthattrulymeasuresexpert-levelthinking?”1.Whatdoestheunderlinedword“aptitude”inparagraph2mean?A.Knowledge. B.Performance. C.Intelligence. D.Progress.2.WhatdoesLongPhanstressaboutHLE?A.Itstopicdiversity. B.Experts’involvementinit.C.Theexpertiseofitsdataset. D.Itsdata-backedpopularity.3.Whatisparagraph4mainlyabout?A.HLE’sroleasakeyAItest. B.Companies’useofHLE.C.HLEscoresofleadingAImodels. D.TheprocessofHLE’slaunch.4.Bysharingitsview,theNatureeditorialaimedto________.A.backthecurrenttesting B.expressconcernoverHLEC.proposeaworkablesolution D.predictfutureAIbenchmarks2.（2026·聊城·一模）Intheageoflargelanguagemodels(LLMs)andgenerativeAI,wearewitnessinganunprecedentedtransformationinhowknowledgeisproduced,spreadandconsumed.LLMs,wearetold,makeusmoreefficient,simplifycomplexwork,automateboringtasksandallowustofocusonwhatmatters.Butaswefeelsurprisedattheircapabilities,apressingconcernemerges:Arethesemodelsgenuinelyboostingefficiency,oraretheyerodingourcapacityforindependentthought,judgmentandcriticalreflection?Efficiencyisnotaneutralterm.ThecurrentnarrativearoundgenerativeAItreatsefficiencyasprogress.Itsuggeststhatthefastersomethingisdone,thebetter.Butfasterisnotalwaysbetter.Andnoteverythingthatcanbeautomatedshouldbe.ThepopularbeliefisthatLLMsallowhumanstoassignrepetitiveworktomachinesandreservetheirenergyformorereflectivetasks,buttheoppositeisoftentrue.Asthemoreintellectuallabor—writing,summarizinganddecision-making,forexample—ishandedovertoAI,thelesswewillengagewithitourselves.Insteadofreservingourthoughtfulnessforhighertasks,wewillincreasinglylosetheopportunities,andperhapseventheability,tothinkcritically.Sowhatdowereallymeanby“efficiency”?Ifitmeansshorteningthetimeittakestowriteareport,perhapswehavesucceeded.Butifitmeansreplacingtheintellectualeffortthatcreatesdepth,coherenceandreflection,thenit’snotagain;it’saloss.ThemomentweacceptLLMsasthoughtsubstitutes,ratherthanthoughtaids,webegintoworsentheveryconditionsunderwhichhumanreasoningthrives:questioning,dialogue,uncertaintyandcontradiction.ThereisnoturningbackthepresenceofLLMsinourlives.Butwecanchoosehowtolivewiththem.Thequestionisnotwhethertheywillthinkforus,butwhetherwewillletthemdefinewhatitmeanstothinkatall.Efficiency,inthetruesense,shouldnotbeaboutdoingmorewithlessthought.Itshouldbeaboutdoingbetter,withdeeperattention,strongerethicsandsustainedhumaninsight.5.Whatdoestheunderlinedword“eroding”inparagraph2mean?A.Changing. B.Improving. C.Destroying. D.Expanding.6.WhatdoLLMsleadto,accordingtoparagraph4?A.Wegetmorereflectivelabor. B.Wedoindependentthinkingless.C.Weengageinmorerepetitivetasks. D.Wereduceourworkefficiencyindeed.7.WhatdoestheauthoradvocateaboutourusingLLMs?A.Puttingefficiencyfirst. B.Reducingintellectualeffort.C.Achievingmorewithlesstime. D.Increasinghumanengagement.8.Whatistheauthor’spurposeinwritingthetext?A.TodescribethefastdevelopmentofLLMs.B.ToreflectonthenegativeeffectsofLLMs.C.Toquestionthenecessityofpursuingefficiency.D.Tochallengethetraditionaldefinitionofefficiency.3.（2026·广州·一模）SurveydatashowsthatmostfreshmenregularlyusegenerativeAI,oftentreatingitas“anintellectualpartner”,ProfessorJohnHampsonreportedatafaculty(全体教师)meetinginEliteTechnologyUniversity(ETU).Studentsmostcommonlyuseittounderstanddifficultconcepts,search,generatestudymaterials,andeditwriting.Interestingly,thelowestreporteduseisforgeneratingtext.Meanwhile,studentsareusingfacultyofficehoursandthespeakingandwritingcentersless.Inlastyear’scomputersciencecourses,scoresonproblemsetsincreased,yetexamscoresdeclined.“Thisisconcerning,”notedHampson.“IftheywereusingAIasastudypal,theyweren’tabsorbingasmuchastheymightthink.”StudentswantclearerAIpolicies,andHampsonadvisedfacultytocarefullyconsiderandsharewhatlevelofusetheypermit,thereasoningbehindit,howtociteuseofAI,andexamplesofwhat’spermissible.Healsoencourageddepartment-widediscussionstobestpreparestudentsforaworkplacewheretheywillneedtoknowhowtowriteorcodewithitsassistance.“Ialsobelievethatstudentsneedtolearntowriteandcodeunaided,todevelopcriticalthinkingskills,theiragencyascitizens,andalsomeaning—makingtheideasthathelpthemunderstandtheirownlives,”headded.SomeprofessorsexpressedconcernsabouthowAIuseisimpactingstudents’mentalhealthandlearning.ProfessorGeorgeWilsonnotedthatstudentsareoftenhighlycompetitive,and“it’simportanttocreaterulessothatcompetitionleadstohealthybehaviorsthatmakethembettereducatedpeople.”Whilesomesuggestedmoreone-on-onetimewithstudents,othersnotedthatbudgetrestrictionswouldmakethatdifficult.ProfessorPolyBurnettobservedthatlectureattendanceisalsodown.Sheurgedfacultytomakelecturessomethingstudentsgenuinelywanttoattend.Shealsonotedthatmanyteachersaremakingsmallchanges,inhopesofcontinuingteachingasthey’vepreviouslytaught.“Weactuallyhavetoseethislessasaproblemandmoreasanopportunity,”Burnettsuggested.“HowcanETUleadinrethinkinghowweteach,howwelearn...andhaveourstudentsbebenefitingandbeingattheleadingedgeofthat?”9.Whatdoestheauthorimplyaboutthesurveyfindingsbyusing“interestingly”inparagraph1?A.Theyindicateapromisingtrend. B.Theycontradictacommonassumption.C.Theycapturethefaculty’sinterest. D.Theyrequirefurtherinvestigation.10.Whichofthefollowingchangesismentionedinparagraph2?A.Studentsareinteractingmorewithothers.B.AIusehasledtobetterlearningoutcomes.C.Examscoresrosewhilehomeworkscoresfell.D.Studentsareusingoff-lineacademicservicesless.11.WhydoesHampsonemphasizestudentswritingandcodingwithoutAI?A.ToclarifyacceptableusesofAIincoursework.B.Topreparestudentsforfutureworkplacedemands.C.Toensurestudentsdevelopessentialhumancapacities.D.Toimprovestudents’long-termacademicperformance.12.WhatisBurnett’ssuggestiontothefaculty?A.Makelecturesmoreentertaining.B.Letstudentstaketheleadingrole.C.Takethechancetoreformeducation.D.AdjustteachingslightlytoAIchallenges.4.（2026·苏北七市·二模）GenerativeAItoolshaveexplodedinpopularity,enablinguserstocreatetext,images,musicandvideoinseconds.Butbehindtheinnovationliesacontroversialissue:theunauthorizeduseofcopyrightedmaterialtotrainthesemodelsandtheuncreditedreproductionofprotectedworksinAI-generatedcontent.Forartists,writersandfilmmakers,theriseofgenerativeAIfeelslikeathreat.ManyAIsystemsaretrainedonvastdatasetsscrapedfromtheinternet—includingnovels,paintings,songsandfilms—withoutpermissionorcompensationtotheoriginalcreators.WhenAIproducesnewcontentthatcloselymimicsthestyleorevenspecificelementsofcopyrightedworks,itoftendoessowithoutattribution,leavingcreatorsfeelingtheirlaborisexploited.Takevisualartistsasanexample.Adigitalpaintermightspendyearsdevelopingauniquestyle,onlytofindAItoolscanreplicatethatstyleinstantly.SomeartistshavefiledlawsuitsagainstAIcompanies,arguingthattrainingmodelsontheirworkwithoutconsentviolatescopyrightlaw.TheydemandfaircompensationandclearerrulesonhowAIcanusecreativecontent.Techcompanies,however,arguethatAItrainingfallsunder"fairuse,"alegaldoctrinethatallowslimiteduseofcopyrightedmaterialwithoutpermissionforpurposessuchaseducation,researchorinnovation.TheyclaimAItransformstheoriginalmaterialintosomethingnew,thusnotinfringingoncopyright.Yetthisargumentfailstoaddressthecoreconcernofmanycreators:thatAIprofitsfromtheirworkwithoutgivinganythingback.Thedebateisfarfromsettled.GovernmentsaroundtheworldarestrugglingtoupdatecopyrightlawstokeeppacewithAI.TheEuropeanUnion’sAIActrequirestransparencyabouttrainingdata,whiletheUSCopyrightOfficehasrefusedtograntcopyrighttopurelyAI-generatedworks.InChina,newregulationsmandatelabelingAI-generatedcontenttopreventdeception.AsgenerativeAIcontinuestoevolve,findingabalancebetweeninnovationandprotectionwillbecritical.Withoutclearrules,bothcreatorsandAIdeveloperswillfaceuncertainty.ThegoalshouldbetofosterAIprogresswhileensuringthatthosewhocreateoriginalworkarerespectedandrewarded.13.WhatproblemismainlydiscussedinParagraph1?TherapiddevelopmentofAItechnology. B.ThelackoflegalprotectionforAIusers.C.TheillegaluseofcopyrightedmaterialbyAI.D.Thedifficultyincreatingoriginalcontent.14.WhydomanyartistsopposegenerativeAI?AImakestheirworkslesspopular.AIcopiestheirstyleswithoutpermission.AIreducesthevalueofcreativejobs.D.AIfailstoproducehigh-qualitycontent.15.WhatdotechcompaniesclaimaboutAItraining?Itshouldbestrictlybannedbylaw.Itbelongstothecategoryoffairuse.Itneedsfullpermissionfromcreators.D.Ithasnothingtodowithcopyright.16.Whatcanbeinferredfromthelasttwoparagraphs?GloballawsonAIcopyrightareconsistent.AI-generatedworkscangetcopyrightintheUS.ChinarequiresclearlabelsforAIcontent.D.Innovationshouldcomebeforecopyrightprotection.5.（2026·运城·一模）Newresearchchallengesthewidespreadbeliefthatartificialintelligence(AI)isdrivingamajorriseinglobalgreenhousegasemissionsScientistsfromtheUniversityofWaterlooandtheGeorgiaInstituteofTechnologyanalyzedU.S.economicdataalongsideestimatesofhowfrequentlyAItoolsareusedacrossdifferentindustries.TheiraimwastounderstandwhatmighthappentotheenvironmentifAIadoptionincreasesalongitscurrentpath.AccordingtotheU.S.EnergyInformationAdministration,83percentofthenation’seconomicactivityreliesonpetrol,coalandnaturalgas.Thesefuelsreleasegreenhousegaseswhenburned.TheresearchersnotedthattotalenergyusefromAIintheU.S.matchedtheelectricityconsumptionofIceland,yetthisamountremainedinsignificantwhenviewedatnationalorgloballevels.“Itisimportanttonotethattheincreaseinenergyuseisnotgoingtobeuniform.It’sgoingtobefeltmoreintheplaceswhereelectricityisproducedtopowerthedatacenters,”saidDrJuanMoreno-Cruz,aprofessorattheSchoolofEnvironment,EnterpriseandDevelopmentattheUniversityofWaterlooandCanadaResearchChairinEnergyTransitions.“Ifyoulookatthatenergyfromthelocalperspective,that’sabigdealbecausesomeplacescouldseedoubletheamountofelectricityoutputandemissions.Butatalargerscale,AI’suseofenergywon’tbenoticeable.”“ForpeoplewhobelievethattheuseofAIwillbeamajorproblemfortheclimateandthinkweshouldavoidit,we’reofferingadifferentperspective,”Moreno-Cruzadded.“Theeffectsonclimatearenotthatsignificant,andwecanuseAItodevelopgreentechnologiesortoimproveexistingones.”Todeveloptheirfindings,environmentaleconomistsMoreno-CruzandDrAnthonyHardingreviewedavarietyofeconomicsectors,thetypesofjobswithinthosesectors,andtheshareoftasksthatcouldpotentiallybeperformedbyAI.Moreno-CruzandHardingintendtoapplythesameapproachtoadditionalcountriesinordertounderstandhowAIadoptionmayaffectenvironmentaloutcomesacrossdifferentregionsoftheworld.17.Whatistheprimarygoaloftheresearch?A.TopromotethedevelopmentofgreenAI. B.Tomeasureenergyconsumptionworldwide.C.TowarnaboutAI’sgrowingenergydemands. D.ToassessAI’spotentialenvironmentaleffects.18.WhatcanbesaidaboutAIenergyconsumptionintheU.S.?A.Itcontributestopetrol-basedactivities. B.Itwillsoonreachtheglobalemissiontarget.C.Ithassmallinfluenceatthenationallevel. D.ItexceedsIceland’selectricityconsumption.19Whatdoresearchersplantodonext?A.Extendtheirresearchtomorecountries. B.ShiftfocustoAI’seconomicadvantages.C.DevelopAIapplicationstostopemissions. D.ReducetheenergyuseofAIindatacenters.20.Whichofthefollowingisthemainideaofthetext?A.AItechnologydrivesgreenhousegasemissions.B.AIenergyconsumptionurgentlyneedsregulating.C.Datacentersemitmorethanpreviouslyestimated.D.AI’simpactonclimateismuchsmallerthanbelieved.6.（2026·郑州·一模）AItechnologyhaslongbeenabletorecognizepatternsinmusicpreferencesandcreatepersonalizedplaylists.Now,anewAIsystemhastakenthisastepfurtherbyanalyzinghowpeoplelistentomusicandidentifyingtheirunique“listeningstyles”.Thisadvancementchangeshowmusicstreamingservicestailorplayliststoindividualusers,makingthemmoreenjoyable.Musicrecommendationalgorithms(算法)havebeenhighlyeffectiveatsuggestingnewsongsandartists.ButDr.EmilyCarter,amusicdatascientistattheUniversityofMusicandTechnology,notesthatthesealgorithmsoftenuseaone-size-fits-allapproachthatdoesn’trecordtheslightdifferencesofindividuallisteningbehavior.Tobetterunderstandandsatisfyindividualpreferences,researchersneedtoanalyzeeachuser’suniquelisteningpatterns.TodevelopandtraintheirAI,theresearcherscollecteddatafromover50millionlisteningsessionsandfeditintoaneuralnetwork.Theytestedthesystembyseeinghowwellitcoulddistinguishbetweendifferentusers’listeninghabits.Thesystemwasgiven100listeningsessionsfromeachofabout3,000knownusersand100newsessionsfromanunknownuser.TheAIlookedforthebestmatchandidentifiedtheunknownuser86%ofthetime,accordingtoastudypresentedattheInternationalSocietyforMusicInformationRetrieval(ISMIR).“Wewerequitesurprisedbytheaccuracy,”saysAlexJohnson,adoctoralstudentinCarter’slabandtheleadauthorofthestudy.Anon-AImethodwasonly28%accurate.“Theworkisinnovative,”saysDr.SarahKim,amusicresearcher.“Personalizedmusicexperiencescouldtransformhowweinteractwithmusicplatforms.”Theresearchersareawareoftheprivacyimpactoftheirsystem,whichcouldpotentiallyidentifyusersbasedontheirlisteninghabits.Intheory,similarsystemscouldalsoanalyzeotherbehaviors,suchasthetypesofpodcasts(播客)peoplelistentoorthetimingoftheirmusicconsumption.ISMIRorganizersfoundthestudyimpressivebutquestionable,andaccepteditonconditionthattheresearchersdetailtheprivacyrisks.Cartersaystheyhavedecided,fornow,nottoreleasethesoftwarepublicly.21.WhatadvancementofAIismentionedinparagraph1?A.Protectingpeople’sprivacy.B.Recognizingmusicpatterns.C.Tailoringpersonalizedplaylists.D.Improvingmusicstreamingquality.22.WhatdoesCartersayaboutthemusicrecommendationalgorithms?A.Theyconsiderlisteningstyles.B.Theyrenewnetworksconstantly.C.Theyrecommendpopularsongs.D.Theyignoreindividualpreferences.23.WhatisthemainconcernaboutthenewAIsystem?A.Itstechnicalweaknessesinanalyzingdata.B.Itsinabilitytodistinguishbetweenusers’habits.C.Itslimitedaccuracycomparedtonon-AImethods.D.Itspotentialprivacyriskfromtrackinglisteninghabits.24.HowdoISMIRorganizersfeelaboutthenewAIsystemstudy?A.Careful. B.Disappointed. C.Favorable. D.Uninterested.7.（2026·西安·3月）AnAI-poweredrobotwasabletoseparateagallbladder(胆藏)fromtheliverofadeadpiginwhatresearchersclaimisthefirstrealisticsurgerybyamachinewithalmostnohumanintervention.Therobotispoweredbyatwo-tierAIsystemtrainedon17hoursofvideocontaining16,000motionsperformedbyhumansurgeonsduringoperations.Whenputtowork,thefirstlayeroftheAIsystemwatchesvideo,monitorsthesurgeryandissuesplain-languageinstructions,whilethesecondAIlayerturnseachinstructioninto3Dtoolmotions.Inall,thegallbladdersurgeryrequires17separatetasks.Theroboticsystemhasperformedtheoperationeighttimes,achieving100percentsuccessinallofthetasks.“Currentsurgicalrobotictechnologyhasmadesomeprocedureslessinvasive,butriskshaven'treallydroppedfrompreviouslaparoscopic(使用腹腔镜的)surgeriesbyhumansurgeons,”saysteammemberAxelKriegeratJohnsHopkinsUniversityinMaryland.“Thismadeuslookintowhatisthenextgenerationofroboticsystemsthatcanhelppatientsandsurgeons.”“ThestudyreallyhighlightstheartofthepossibilitywithAlandsurgicalrobotics,”saysDanailStoyanovatUniversityCollegeLondon.“Incredibleadvancesincomputervisionforsurgicalvideowiththeavailabilityofopenroboticplatformsforresearchmakeitpossibletodemonstratesurgicalautomation."Butmanychallengesremaintomakethesystempracticalinclinicaluse.“Whiletherobotcompletedthetaskwith100%success,ithadtoself-correctsixtimespercase.Forexample,thiscouldmeanagripper(夹持器)designedtograspanarterymisseditsholdonthefirsttry,"Stoyanovsaid.“Therewerealotofinstanceswhereithadtoself-correct,butthiswasallfullyautonomous,”saysKrieger.“Itwouldcorrectlyidentifytheinitialmistakeandthenfixitself."Therobotalsohadtoaskahumantochangeoneofitssurgicalinstrumentsforanother,meaningsomelevelofhumaninterventionwasrequired.Thenextstep,saysKrieger,istoletarobotoperateautonomouslyonaliveanimal,wherebreathingandbleedingcouldcomplicatethings.“Butwithcontinuedresearch,we'reconfidentthatwecanovercometheseobstaclesstepbystep."25.Whatarethetwo-tiertasksthattheAlsystemistrainedtoperform?A.Givinginstructionsandperformingmotions.B.Monitoringthesurgeryandissuingcommands.C.Analyzingvideoandchoosingsurgicaltools.D.Imitatinghumansurgeonsandseparatingtasks.26.Whatbreakthroughdoesthenewrobotachieveovertraditionallaparoscopicsurgeries?A.Minimalinvasivenesswithnodanger.B.Nearautonomywithhighsuccessrate.C.Lowrisksincomplexsurgicaltasks.D.Fasterself-correctionspeedinoperations.27.Whatmayprovechallenginginarobotoperationaccordingtothelastparagraph?A.Adaptingtoreal-timevariability.B.Identifyingsurgicalmistakesquicker.C.Reducinghumanhelpforcrucialtasks.D.Dealingwithcomplicatedsurgeries.28.Whichofthefollowingbestsummarizesthepassage?A.TheRoboticSurgery:CuttingMedicalRisksB.TheRoboticSurgery:GreatClinicalProgressC.TheRoboticSurgery:SimplifyingSurgeryD.TheRoboticSurgery:SuccessandOngoingIssue8.（2026·衡阳·3月）Chinesescientistshaveuncoveredtheworld’sfirstAI-poweredbreedingrobotnamedGEAIR.Itcancruiseautonomouslyandcarryoutcross–pollination(异花授粉),promisingreducedbreedingcosts,shortbreedingcycles,andimprovedbreedingefficiency.GEAIRhasbeenbuiltwithacombinationoftwotechnologies:AIandbiotechnology.XuCao,aresearcherfromtheChineseAcademyofSciences,ledtheresearchteamthatbuilttherobot.Cross-pollination,alsoknownashybridpollination,istheprocessoftransferringpollen(花粉)fromaflowerofoneplanttoanother.Thisprocesshelpsincreatinghybridflowersofplants,alsoknownashybridbreeding.Theaimofhybridbreedingistodevelopcropvarietieswithimprovedtraits,therebyachievingenhancedyieldandquality.However,accordingtoXu,doingthisprocessrepeatedlyistime-consuming.GEAIRcanhelpreducethetimeandalsoavoidhumanerrors.Livinguptoitspromisedpotential,therobotcarriedoutatrialinagreenhouse.Itidentifiedafloweraccuratelyandextendeditsarmgentlytocompletethehybridpollinationprocess.Theentirebreedingprocesswasdonewithinch-perfectprecision.Theresearchersalsobuiltthefirst“intelligentroboticbreedingfactory”,whichcanquicklyandefficientlydevelopnew,high-qualityplantvarieties.GEAIRwillstartanewerabackedbyAIandbiotechnologyinthebreedingindustry.“Ournewstudyhasinitiatedanintelligentbreedingmodelofintegratedbiotechnology,AIandrobotlabor—markingChina’ssuccessfulpioneeringeffortsintheconstructionofaclosed-loop(闭环的)technologysystemforintelligentrobotizedhybridbreeding,”Xusaid.“Italsoshowstheapplicationprospectsof‘AIforscience’inthesectorofbiologicalbreeding.”Withbiotechnologyasitsfoundation,AIasempowerment,androbotsasoperators,thisstudycouldhelpChinataketheleadintheracetocreatebreedingrobotsthatarefullyautonomousandintelligent.29.WhatistheprimaryfunctionoftheGEAIRrobot?A.Totakecareofhumangardeners.B.Tomonitorplantgrowthconditions.C.Toconducthybridpollinationtasks.D.Toharvestmaturecropsautomatically.30.WhatproblemoftraditionalhybridbreedingdoesGEAIRsolve?A.Lackofpollensources.B.Longtimeandmistakes.C.Highcostsofhybridization.D.Anarrowrangeofhybridtypes.31.Whatcanweinferaboutthe“intelligentroboticbreedingfactory”?A.Itispopularworldwidenow.B.Itcanworkwithoutanypower.C.Itmainlyfocusesoncommoncrops.D.Itcanenhancethediversityofagriculture.32.WhatisthesignificanceofGEAIR’sdevelopment?A.Itmakesorganicfarmingpossible.B.Itlowersthecostoftraditionalfarming.C.Itprovesrobotscanworkbetterthanhumans.D.ItshowsChina’sleadershipinagriculturaltechnology.9.（2026·河南·一模）Foryears,thedreamfuturekitchenlookedlikesomethingfromasci-fifilm:robotsturningburgers,mechanicalarmsmovingwildly.ButatCES(InternationalConsumerElectronicsShow)2026,industryexpertspaintedadifferentprospect.Thefutureisn’tarrivingwithrobotslookinglikeus.It’sarrivingquietly,invisibly,andit’salreadyhere.Earlysmartkitchenproductsmadeacriticalmistake.AsNicolePapantonioufromtheGoodHousekeepingInstituteputit,“Alotofpeoplewereputtingsmartfeatures,whichyoudidn’treallyneed,intoproducts.”Today’ssuccessfulideasaren’taboutaddingtechnologyforitsownpurpose.They’reaboutfrictionreduction—makingcookingeasierwithouttheuserevennoticingtheintelligenceatwork.ThisshiftisclearinthelatestAIappliances.Severalbrandsofferovens(烤箱)withsystemsthat“see”whatyouputinside.Simplyplacethefoodin,andthemachineautomaticallyselectsthebestcookingoption.Nobuttons,noguesswork.Refrigeratorsarechanginginasimilarway.ThelatestAImodelshavecamerasthatidentifyingredients,trackbest-beforedates,andsuggestrecipesbasedonwhatyouhave.ApartnershipwithchefJamieOliverbringsAI-maderecipestailoredtoyourneeds.ButperhapsthemostunexpecteduseofAIinthekitchenhasnothingtodowithcooking.Companiesaredevelopingsmartrangehoods(抽油烟机)thatuseairflowtocreatealow-pressurezoneabovethepan,trappingverysmallparticles(