自主系统可靠性评估和增强的挑战
Challenges of Reliability Assessment and Enhancement in Autonomous Systems
摘要：
当今先进的网络物理系统和系统的系统的巨大复杂性和异质性通过使用先锋计算架构来在系统中采用基于人工智能的自主性而成倍增加。在这里，整个系统的可靠性伴随着针对自主系统的目标应用和所采用的硬件架构的故障安全、故障操作模式的要求。本文概述了由硬件骨干（如神经形态架构，近似计算架构，GPU，张量处理单元（TPU）和SoC FPGA）支持的自治系统中智能实现的可靠性挑战。
英文摘要：
The gigantic complexity and heterogeneity of today's advanced cyber-physical systems and systems of systems is multiplied by the use of avant-garde computing architectures to employ artificial intelligence based autonomy in the system. Here, the overall system's reliability comes along with requirements for fail-safe, fail-operational modes specific to the target applications of the autonomous system and adopted HW architectures. The paper makes an overview of reliability challenges for intelligence implementation in autonomous systems enabled by HW backbones such as neuromorphic architectures, approximate computing architectures, GPUs, tensor processing units (TPUs) and SoC FPGAs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
