{"title":"主席致辞","authors":"AITest","doi":"10.1109/cahpc.2018.8645950","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) technologies are widely used in computer applications nowadays, such as in monitoring, forecasting, recommendation systems and statistical reporting applications. Typical applications include driverless vehicles, robot controlled warehouses, security enforcement, etc. They are increasingly integrated with cloud/fog/edge computing and big data analytics, robotics, Internet-ofThings, mobile computing, smart cities, smart homes, intelligent healthcare, etc. However, the quality of existing AI applications is far from satisfactory. Software testing is a fundamental and effective quality assurance technology. However, how to test AI applications faces many challengers compare with testing traditional systems.","PeriodicalId":307747,"journal":{"name":"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Message from the General Chairs\",\"authors\":\"AITest\",\"doi\":\"10.1109/cahpc.2018.8645950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligence (AI) technologies are widely used in computer applications nowadays, such as in monitoring, forecasting, recommendation systems and statistical reporting applications. Typical applications include driverless vehicles, robot controlled warehouses, security enforcement, etc. They are increasingly integrated with cloud/fog/edge computing and big data analytics, robotics, Internet-ofThings, mobile computing, smart cities, smart homes, intelligent healthcare, etc. However, the quality of existing AI applications is far from satisfactory. Software testing is a fundamental and effective quality assurance technology. However, how to test AI applications faces many challengers compare with testing traditional systems.\",\"PeriodicalId\":307747,\"journal\":{\"name\":\"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/cahpc.2018.8645950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cahpc.2018.8645950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence (AI) technologies are widely used in computer applications nowadays, such as in monitoring, forecasting, recommendation systems and statistical reporting applications. Typical applications include driverless vehicles, robot controlled warehouses, security enforcement, etc. They are increasingly integrated with cloud/fog/edge computing and big data analytics, robotics, Internet-ofThings, mobile computing, smart cities, smart homes, intelligent healthcare, etc. However, the quality of existing AI applications is far from satisfactory. Software testing is a fundamental and effective quality assurance technology. However, how to test AI applications faces many challengers compare with testing traditional systems.