




下載本文檔
版權說明:本文檔由用戶提供并上傳,收益歸屬內容提供方,若內容存在侵權,請進行舉報或認領
文檔簡介
Artificialintelligenceanditsapplicationsinvariousfield
SINDHUJA.R
UGStudent-ComputerScience
SriKrishnaArtsandScienceCollege
Coimbatore-641008
sindhu6498@
ABSTRACT:
ComputingandprogramminghascreatedagreatevolutionespeciallyinthefieldofArtificialintelligenceanditisanemergingtechnologyintoday'sworld.NowandthenmostofthethingsintheworldmayuseAII.e.Inthefuture,intelligentmachineswillreplaceorenhancehumancapabilitiesinmanyareas.Thetermintelligenceisconsiderastheabilitytolearnandtogainknowledgesothatitcanbeusedtosolvethecomplexproblems.ApplicationareasofArtificialIntelligenceishavingahugeimpactonvariousfieldsoflifeasexpertsystemiswidelyusedthesedaystosolvethecomplexproblemsinvariousareasasscience,engineering,business,medicine,weatherforecasting.TheareasemployingthetechnologyofArtificialIntelligencehaveseenanincreaseinthequalityandefficiency.Thispapergivesanoverviewofthistechnologyandtheapplicationareasofthistechnology.ThispaperwillalsoexplorethecurrentuseofArtificialIntelligencetechnologiesinthevariousfieldlikegaming,inthemedicalareatoimprovehospitalinpatientcareandmakediagnosismuchsimpler,easierandaccurate,inthehomeautomationtomakeeasiertoaccessalltheservicessimplywiththevoice,andtheautonomouscar.ThusthispaperpresentsabriefonAIanditsvariousemergingapplicationsalongwithrealtimeexamples.
Keywords:Artificialintelligence,Healthcare,gaming,Autonomousvehicles,homeautomation.
INTRODUCTION
Artificialintelligenceisplayinganincreasingroleinalmostallthefieldsrangingfromoperationalresearchareastohealthcare.Thetermintelligenceisconsideredastheabilitytolearnandtogainknowledgesothatitcanbeusedtosolvethecomplexproblems.Thustheartificialentityofcreatingthisintelligenceiscalledasartificialintelligence.Inotherwordsthemachineorcomputerwiththeabilitytosolvetheproblemsthatusuallydonebythehumanwiththeirintelligenceisartificialintelligence.Theseprocessesincludelearning(theacquisitionofinformationandrulesforusingtheinformation),reasoning(usingtherulestoreachapproximateordefiniteconclusions)andself-Correctionandetc.
HISTORY
JohnMcCarthycoinedthetermartificialintelligence,in1956attheDartmouthConferencewherethedisciplinewasborn,todayitisanumbrellatermthatencompasseseverythingfromroboticprocessautomationtoactualrobotics.Howeverthetalksandtheresearchaboutthisartificialintelligencestartedin1940s.In1943,warrenMcCullochandWalterPittsPublishedthepaper‘ALogicalCalculusoftheideasimmanentinNervousActivity’aboutthefunctionofneuronsinbrainwhichisthebaseforalltheneuralnetworks.
TheTuringTestApproach:
TheTuringtestwasproposedbyAlanTuring(1950).Thistestwasdesignedtotestthatwhetheraparticularmachinehasintelligenceornot.Thetestinvolvesahumaninterrogatorwhointeractswithahumanandthecomputerandhastotellwhoishumanandwhichoneiscomputer.Theinterrogatorraisessomequestionstobothhumanandcomputerandthecomputerpassesthetestifaninterrogatorcannottellwhetherthewrittenresponseiscomingfromhumanorfromthecomputer.
THEORGINAL7ASPECTSOFAI:
Simulatinghigherfunctionstousegenerallanguage.
Programmingacomputertousegenerallanguage
Arranginghypotheticalneuronsinamannersothattheycanformconcepts.
Awaytodetermineandmeasureproblemcomplexity.
Self-improvement.
Abstractiondefinedasthequalityofdealingwithideasratherthanevents.
Randomnessandcreativity.
TYPESOFARTIFICIALINTELLIGENCE
TherearedifferenttypesofAIintermsofapproachtheyare
WeakAI
StrongAI
WeakAI:
WeakAIalsoknownasnarrowAI,isanAisystemthatisdesignedandtrainedforaparticulartask,i.e.machineswhicharenottoointelligenttodotheirownworkcanbebuiltinsuchawaythattheyseemsmart.ThebestexampletoexpresstheWeakAIwillbethecardsgameinthecomputerinwhichpeopleplayagainstthecomputerandmostofthetimesthecomputerisabletobeatthehumanbeing.Butthisisbecausealltheinformationandstepshavebeenfedinthatmachinebyahumanitself,anditdoesnottakealltheactionsonitsown.
StrongAI:
StrongArtificialIntelligencecanbedefinedasaphenomenonunderwhichsuchmachinescanbebuiltwhichcanactuallyusehumanintelligenceintheirfunctions,sothatitcanbeabletorepresentthehumanmindintheactivitiestheyperform.Themainaimofthistechnologyistodevelopmachinessomuchthattheystopdependingonhumanbeingstoperformdifferenttasksandcantakedecisionsonthespot.
VARIOUSDISCLIPINESOFAI
AIcontainsmanysubdisciplinesorbrancheswhichdealinspecificaboutthesubject.Theyare:
A)NaturalLanguageProcessing(NLP).
B)KnowledgeRepresentationandReasoning(KRR).
C)PatternRecognition(PR).
D)MachineLearning(ML).
E)ArtificialNeuralNetworks(ANN).
NaturalLanguageProcessing(NLP):
NLPistheprocessofunderstandinghumanlanguageandconvertingtomachineunderstandableform.Forexample,SpeechRecognitioninsmartphonescanunderstandhumanlanguageandprocesstheinformationasperourrequirement.
KnowledgeRepresentationandReasoning(KRR):
KRRisusedforrepresentinginformationincomputerunderstandableforminordertocompleteaspecifiedtask.Intelligencemeansknowledgethatisacquiredandstoredinaknowledgebasethatisusedformakingdecisionsonitsown.
PatternRecognition(PR):
PRisthephenomenonofclassifyingparticulardataintodifferentclassesbasedontheirspecificattributes.
MachineLearning(ML):
MLdealswithstudy,analysisandconstructionofalgorithmstomakeamachinetolearnformakingdecisionsonitsown.Forexample,Autonomouscarthatcantakedirectionsonitsownusingpastdata.
ArtificialNeuralNetworks(ANN):
ANNisdevelopedwiththeinspirationofbiologicalneuronthatishowahumanbrainworks.ItmainlycontainsInputlayer,Hiddenlayerandoutputlayer.Whereasalltheselayershelpsinthinkingprocess.Inputlayertakestrainingdata,thenANNistrainedwithitandnowpredictioncanbedonefromthebuiltmodel.
APPLICATIONSOFAI:
GAMING:
Artificialintelligence(AI)
ingamingisn’tarecentinnovation.Asearlyas1949,mathematicianandcryptographerClaudeShannonpondereda
one-playerchessgame
,inwhichhumanswouldcompeteagainstacomputer.In1997,IBM’ssupercomputerDeepBluedefeatedreigningworldchesschampionmarkingthefirsttimeachessAIhaddefeatedthetophumanplayer.ButAIdevelopersarenowtryingtocreateAIsthatcanactuallythink,learnanddeveloptheirownpersonalitiesTheGoogleDeepMindteampavedthewayforcomputerdominanceinGointhepasttwoyearswiththedevelopmentofAlphaGo,anAIthatusesdeepneuralnetworkstolearnfromitsowngamesaswellasgamesplayedbytophumanplayers.Thisreinforcementlearninghighlightstheuniquestrengthofbothhumanandmachinelearningagents.Inthisrespect,artificialintelligenceandmachinelearningarecreatingthenextgenerationofthewholeleisureindustry.WiththeuseofAIingameswewillbeabletodesignanddevelopnewworldstotestideasandconcepts,designsandactivitieswithinasafeenvironment.
MEDICALFIELD:
Machinelearning,themostbasicformofartificialintelligence,isalreadyinfiltratingthemedicalfield,anditturnsoutthatmachinescanplayanimportantroleinimprovingthehealthincludingmakingdiagnosesmoreaccuratelyandquicklyandfindingbettertreatments.SomebenefitsofAIinthefieldofmedicalfieldincludes
Fast&Accuratediagnostics:
InthecaseofAI,theneuralnetworkofthebrainislookalike,hastheabilitytolearnfrompreviouscases.Aftersomestudiesorresearchonartificialneuralnetworks,researcherssaysthatitisscientificallyproventhatthesenetworkscandiagnosefast&accuratesomeotherdiseasesincludeseyeproblems,malignantmelanomaetc.
ReduceHumanerrors:
AIasasuperhumanspellcheckerwillassistdoctorsbyeliminatinghumanerror&relievethemofmonotonous&time-consumingtasks.
CostReduction:
Withtheemergingtechnologiesincludingartificialintelligence,thepatientcangetdoctorassistancewithoutvisitinghospitals/clinicswhichresultsincostcutting.AIassistantsprovideonlinecare&assistpatientstoaddtheirdatamorefrequentlyviaonlinemedicalrecordsetc.
VirtualPresence:
Thistechnologyalsoknownas
Telemedicine
whichallowsspecialiststoassisttheirpatientswholiveatremotelocations.Usingaremotepresencerobot,doctorscanengagewiththeirstaff&patientsinhospitals/clinics&assistorcleartheirqueries.
Identifysymptomsofcancerandheartdisease:
IBM’sWatsonsoftwareisdevelopedtoidentifysymptomsofcancerandheartdisease.Inthisdevelopment,IBMisacquiringMergeHealthcare—acompanythathascollectedbillionsofmedicalscansandimagesfrom8,000hospitals—touseforWatson’straininginaccuratelyandefficientlyidentifyingsymptomsofcancerandheartillnesses.
Theideabehind
artificialintelligence
inmedicineisnotsomuchtoreplacethedoctorbuttoenhancethedoctor’smedicalexpertise.
Itmaybetimetorealizethatit’snotmanagainstmachinebutman
andmachinetogetherthatcanfinallycreatethebiggestimprovementsinhumanhealth.
AUTOMOBILES:
Vehicleshavebecomeincreasinglysophisticatedunderthoseplushseatsandhigh-performanceengines.Newplatformsliketelemetric,whichgivesfleetvehiclesinformationaboutvehicleanddriverperformance,becamethenextstage,followedbyautonomouscars.
TheKeytoDriverlessCars:
ThemostcommonautomotiveapplicationforAIisautonomousvehicles.Here,AIisbeingputtoworktohelplearnhumanbehaviorandunderstandhowtoreacttodrivingconditionslikeapersonwould.Thisincludessensinghowthoseinothercarswillbehaveandhowtogaugeweatherconditions,roadissues,andotherfactorsthatmustbeunderstoodbeforedriverlessvehiclestakeovertheroadsandalsoitenablesthecartoautomaticallymaintainanappropriatedistancefromvehiclesaheadataspeedofupto210km/h.ThecarautomaticallyrecognizesspeedlimitsothatDriversnolongerneedtooperatethebrakeorgaspedals,andtheyreceivesteeringsupport.TheDaimlerE-Classistheworld’sfirstproductioncartobeissuedatestlicenseforautonomousdriving.Mercedes-BenzisalsosettingstandardsforautonomousdrivingwiththenewE-Class.
AssistedFeatures:
AIcanalsohelppeopleavoidthosehumanerrorsthatleadtoaccidentswiththesafetyfeatureslinkedtoautomaticbraking,alertsystems,andcollisionavoidancesystems.
Connectivity:
AIisalsocreatingalevelofconnectivityintheautomotiveindustrythatpromisestobringmajorbenefitstomanufacturersandconsumer’salike.IfAIlearnsthataparticularpartorfeaturetendstofailafteracertainduration,themanufacturercouldproactivelytakestepstooptimizeitsproductandensureconsumersremainsafe.Thisapproachiscommonlyknownascognitivepredictivemaintenance,andcompaniessuchas
DataRPM
haveemergedtocreateAI-drivenplatformsthatmakeitpossible."Cognitivepredictivemaintenanceprovidesexactlywhatmanufacturersarelookingfor:actionableinsights,”Forconsumers,connectivitycanprovidelocalizedinformationrelatedtoeverythingfromgasstationstorestaurantstoshopping.
OtherCoolApplications:
AI-enabledfeaturesonvehiclestiedtobiometricscanalsohelpwithsecurity,intermsofcomponentsthatenableacartodriveonlywhenitrecognizesacertainvoice.EyetrackingisanotherpossibilityforAItohelpwithmonitordrivingandsensewhetheradrivermightbetiredordistracted,enhancingthesafetyofdrivingforthosebehindthewheelandthosearoundthem.Noonelikestrafficorunexpectedroaddelays,sohavingacarthatcaninstantlyprovidenewroutestoavoidthisirritationmakesAIevenmoreattractivetoeventhemostskeptical.WhileGPSplatformsalreadydothistosomedegree,theyarelimitedinwhattheycanoffer,andtheydon’thavethecapacitytothinkbeyondthoselimitationslikeanAI-enabledplatformcoulddo.ThusAIhasmovedIOTforwardinmanywayswiththeseautomotiveapplicationstomaketheworldsmarterandsafer,offeringwaystomakebetterdecisionsandencouragingwideradoptionandacceptanceofamorecloselyconnectedworld.
HOMEAUTOMATION
Adecadeago,theideaofcontrolling
home'sthermostat,lightsandsecuritysystemsremotelyviaSmartphonewouldhaveseemedlikefuturisticsciencefiction.Butnowit’stotallychangedwiththeArtificialintelligencethatmakesasmuchassimplerandeasier.“Theideaistomakehomeautomationaseasyasaskingafriendtoturnonalight,”insteadofunlockingthephone,opentheappthentoturnonthespecificlight.Thisismorenatural.Insteadofusingamobileoraremotecontrol,itispossibletouseexistingskillsandnaturallanguage.ThedeviceslikeGoogleHome,AlexaandAmazonEchobecomemorecommonplaceandartificialintelligencebecomesmoresophisticated.
AIsmartspeakers:
TheAIspeakerslikeGOOGLEHOME,AMAZONECHOenableuserstointeractwithservicesusingtheirvoiceinsteadofadditionaldevicesthroughvirtualpersonalassistantslikeGoogleassistantforGooglehomeandAlexaforAmazonechoanditalsohasanabilitytodifferentiatedifferentvoices.Thesespeakersusesanaturalvoicerecognitiontechniquesandenablestheuserstointeractwiththeserviceslike
Playingmusicandreceivingnewsupdate.
Abilitytoaddremaindersandcalendarappointments.
Smartservicesinhomecontroli.e.lightetc.
ProvidesTrafficreports,weatherconditions.
Abilitytoanswerthequestionsraisedbytheuser.
Smartlocks:
Withsmartlocksandsmartgaragedoorcontrolscancheckthestatusofyourhome’sdoorsorlockandunlockthemfromanywherelettingfamilyandguestsinoroutwhenneeded.
Smartcameras:
SmartcamerasareoneofthemostusefulAI-powereddevices.Thesecamerascannotonlyactasdeterrents,theycanrecordin1080p,whichisimportantifthepoliceneedtoidentifysomeonefromarecording.Thesedevicescanalsoautomaticallyuploadvideofootagetothecloudforeasystorageandplayback.Itisalsopossibleeventotapintothelivefeedfromanylocation,withtheconnectedSmartphoneapps.Possiblythemostinterestingthingaboutthesecameras,though,ishowtheyleverageAItodeterminewhensomethingoutoftheordinaryisgoingonandsendyouanalert.The
NestCam
,forexample,candetectahumanfigurethatappearsintheframeinspecificzonesofyourhouse.
ThuswiththehelpoftheAIitispossibletoControlallofthehomedevicesfromanywhereatanytime.
SMARTPHONES:
ThemostcommonapplicationofAIcanbeseeninourmobilephonesintheformofVirtualPersonalAssistants.
Siri,andGoogleNow
aresomeverycommonlyuseddigitalassistantsthatarefoundinIOS,AndroidandWindowsphones.Thesecananswerwhateveryouaskthemlike“WhatmovieisgoingtobereleasedthisFriday?”or“WhoisStephenHawking?”
Virtualpersonalassistant:
Theassistantusesvoicequeriesanda
\o"Natural-languageuserinterface"
natural-languageuserinterface
toanswerquestions,makerecommendations,andperformactionsbydelegatingrequeststoasetofInternetservices.Itsupportsawiderangeofusercommands,includingperformingphoneactions,checkingbasicinformation,schedulingeventsandreminders,handlingdevicesettings,searchingtheInternet,navigatingareas,findinginformationonentertainment.Theseapplicationscollectinformationinordertointerpretwhatisbeingaskedbytheuserandthentherequireddataisfetchedtosuittheuser’spreferences.Thereisahugeamountoflearninginvolvedonthepartoftheseassistantsandalotofinformationistrackedtoensureefficiency.
WEATHERFORECASTING:
Neuralnetworksarenowadaysbeingusedforpredictingweatherconditions.Pastdataisprovidedtotheneuralnetwork,whichthenanalysesthedataforpatternsandpredictsthefutureweatherconditions.
DATAMINING:
Dataminingisafast-growingarea.DataminingisapartofaprocesscalledKDDknowledgediscoveryindatabases.Thisprocessconsistsbasicallyofstepsthatareperformed
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯系上傳者。文件的所有權益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網頁內容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
- 4. 未經權益所有人同意不得將文件中的內容挪作商業或盈利用途。
- 5. 人人文庫網僅提供信息存儲空間,僅對用戶上傳內容的表現方式做保護處理,對用戶上傳分享的文檔內容本身不做任何修改或編輯,并不能對任何下載內容負責。
- 6. 下載文件中如有侵權或不適當內容,請與我們聯系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 育嬰師職業行為標準考題及答案
- 農村電子商務試題及答案
- 一個月嬰兒護理重點及方法
- 網絡規劃設計師考試內容概覽與歸納試題及答案
- 衛生管理證書考試復習題及答案
- 藥物配方常見考點分析試題及答案
- 激光技術的戰略分析試題及答案
- 藥學教育與培訓新模式試題及答案
- 職場問答測試題及答案
- 藥學實驗技能考試試題及答案
- 基于CRISPR-Cas9技術探索敲除RAB7A增強肺癌對吉西他濱敏感性的機制研究
- 2025年高考作文備考訓練:知足與進?。ǜ剿悸分敢⒘⒁鈪⒖肌⒔Y構建議、4篇范文示例)
- 社區文化活動服務行業跨境出海戰略研究報告
- 2025年第33批 歐盟REACH SVHC高度關注物質清單247項
- 碳中和目標下的公路建設策略-全面剖析
- 2025年山東省東營市廣饒縣一中中考一模英語試題(原卷版+解析版)
- 地面推廣協議
- 雷雨劇本文件完整版電子書下載
- 采樣員筆試題庫及答案
- 2025年中國能源建設集團湖南省電力設計院限公司校園招聘自考難、易點模擬試卷(共500題附帶答案詳解)
- 網絡安全知識競賽題庫及答案 1000題
評論
0/150
提交評論