{"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
主席致辞
人工智能(AI)技术在当今的计算机应用中得到了广泛的应用,例如监测、预测、推荐系统和统计报告应用。典型应用包括无人驾驶车辆、机器人控制仓库、安全执法等。它们越来越多地与云/雾/边缘计算和大数据分析、机器人、物联网、移动计算、智慧城市、智能家居、智能医疗等融合在一起。然而,现有人工智能应用的质量远不能令人满意。软件测试是一项基础的、有效的质量保证技术。然而,与测试传统系统相比,如何测试人工智能应用面临着许多挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Assessing Time Predictability Features of ARM Big. LITTLE Multicores Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows From Java to FPGA: An Experience with the Intel HARP System Copyright
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1