Message from the General Chairs

AITest
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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.
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。
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