《工業(yè)互聯(lián)網(wǎng)導(dǎo)論》AnIntroductiontoIndustrialInternetLecturer：ZhouHaifei擺脫邊界限制9.2工業(yè)人工智能工業(yè)人工智能為工業(yè)帶來的第一個革命性的改變，就是擺脫人類認知和知識邊界的限制，為決策和優(yōu)化提供可量化依據(jù)。Getridofborderrestrictions9.2IndustrialArtificialIntelligenceThefirstrevolutionarychangethatindustrialartificialintelligencebringstoindustryistogetridofthelimitationsofhumancognitionandknowledgeboundaries,andtoprovideaquantifiablebasisfordecisionsupportandcollaborativeoptimization.

聚焦工業(yè)制造9.2工業(yè)人工智能工業(yè)人工智能可視為“人工智能+工業(yè)”的垂直行業(yè)領(lǐng)域，其屬性聚焦于工業(yè)制造系統(tǒng)。Focusonindustrialmanufacturing9.2IndustrialArtificialIntelligenceIndustrialartificialintelligencecamberegardedasaverticalindustryfieldof“artificialintelligence+industry”,whichfocusesonindustrialmanufacturingsystems.工業(yè)鄰域應(yīng)用9.2工業(yè)人工智能在工業(yè)領(lǐng)域中，機器學(xué)習(xí)驅(qū)動的高級分析是普及較早的一項人工智能應(yīng)用，該技術(shù)通過預(yù)測技術(shù)和最優(yōu)化模型，助力生產(chǎn)效率、能源效率和產(chǎn)品質(zhì)量。Industrialapplications9.2IndustrialArtificialIntelligenceIntheindustrialfield,advancedanalysisdrivenbymachinelearningisanearlierapplicationofartificialintelligence.Thistechnology,throughpredictivetechnologyandoptimizationmodels,improvesproductionefficiency,energyefficiencyandproductquality.工業(yè)鄰域應(yīng)用9.2工業(yè)人工智能機器視覺是工業(yè)人工智能的另一項主流應(yīng)用，該技術(shù)通過解析非結(jié)構(gòu)性圖像數(shù)據(jù)來提供洞見，在質(zhì)量過程控制和檢驗方面效果明顯。Industrialapplications9.2IndustrialArtificialIntelligenceMachinevisionisanothermainstreamapplicationofindustrialartificialintelligence.Thistechnologyprovidesinsightsbyanalyzingunstructuredimagedata,andworksbetterinqualityprocesscontrolandinspection.長期過程9.2工業(yè)人工智能基于人工智能的智能制造的實現(xiàn)是個長期的過程。目前的工業(yè)人工智能，實際上還是“人工+機器智能”，在人工智能時代，企業(yè)的工程師、工匠精神與經(jīng)驗，仍將發(fā)揮不可取代的作用。along-termprocess9.2IndustrialArtificialIntelligenceTherealizationofintelligentmanufacturingbasedonartificialintelligenceisalong-termprocess.Thecurrentindustrialartificialintelligenceis“artificial+machineintelligence”.Intheeraofartificialintelligence,thespiritandexperienceofengineersandcraftsmenofenterpriseswillstillplayanirreplaceablerole.人力不可為9.2工業(yè)人工智能Can’tbeDonewithManpower9.2IndustrialArtificialIntelligence面臨不足9.2工業(yè)人工智能一方面，因為相比于數(shù)據(jù)算法的迭代，硬件升級創(chuàng)新相對周期較長；另一方面，工業(yè)中應(yīng)用人工智能要格外謹慎，需要專注開發(fā)、驗證和部署各種不同的機器學(xué)習(xí)算法，以實現(xiàn)具備可持續(xù)性能的工業(yè)應(yīng)用。shortcomings9.2IndustrialArtificialIntelligenceOntheonehand,comparedtotheiterationofdataalgorithms,hardwareupgradesandinnovationshavearelativelylongcycle;Ontheotherhand,theapplicationofAIinindustryneedstobeverycautious,anditisnecessarytofocusonthedevelopment,verificationa