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1、ThePathtoMachineIntelligenceWhitePaperPathtoMachineIntelligenceExecutiveSummaryTheideaofmachinesthatoperateontheprinciplesofthehumanbrainhasbeenaroundformorethanfiftyyears.However,formostofthehistoryofartificialintelligence,progresshasbeenmeasuredbyhowwellmachinessolveparticularproblems,suc
2、hasplayingchess,drivingcars,orpassingtheTuringTest.Relativelyfewartificialintelligenceandmachinelearningtechniquesarebasedonanunderstandingofhowthebrainworksandhowitsolvesproblems.AtNumentawebelievethatthehallmarkofintelligenceisextremeflexibility,nottheabilitytosolveanyparticularproblem.Th
3、enumberofthingshumanscanlearntodoandthetypesofproblemswecansolveisvast.Thisversatilityisaresultofhowourbrainswork.Tobuildintelligentmachineswithequalflexibility,weneedtounderstandtheprinciplesbrainsusetoachievethisremarkableability.Numenta’sapproachtomachineintelligenceisunique;westartwitha
4、deepunderstandingofhowtheneocortexlearnsandwhatmakesitsoflexible,andthenwereplicatethoseprinciplesinsoftware.Intelligentmachinesdesignedthiswaycanbeappliedtoagreatvarietyofproblems,largeandsmall,problemsboththathumanscansolveaswellasthosethatarebeyondhumancapabilities.Theimpactofintelligent
5、machineswillrivalandlikelysurpasstheimpactofcomputersoperatingundertraditionalprinciples,i.e.computerswithpre-programmedrules,ratherthanlearningsystems.Thisendeavorwillinvolvemanypeopleandmanycompaniesaroundtheworld.AtNumenta,wearecompletelytransparentabouthowourlearningalgorithmswork,evenp
6、lacingoursoftwareinanopensourceproject.Thereisagrowingcommunityaroundtheworldthatcontributestothisopensourceinitiativeandiscommittedtoourapproachtomachineintelligence.Afocusonflexibility,learningfromthebrain,andadheringtoopencollaborationisthepathtomachineintelligence.Page1PathtoMachineInte
7、lligenceMachineIntelligence:AFocusonFlexibilityTobeintelligent,abrainormachinemusttakeinastreamofsensorydata,automaticallyfindpatterns,adapttochangingconditions,makepredictionsaboutfutureevents,andbeabletoactasrequiredtogetdesiredoutcomes.Essentially,thi