دانلود مقاله انگلیسی رایگان:روند هوش مصنوعی و قابلیت اطمینان در سیستمهای خودمختار ایمنی در زمین و هوا - 2020
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  • AI and Reliability Trends in Safety-Critical Autonomous Systems on Ground and Air AI and Reliability Trends in Safety-Critical Autonomous Systems on Ground and Air
    AI and Reliability Trends in Safety-Critical Autonomous Systems on Ground and Air

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    AI and Reliability Trends in Safety-Critical Autonomous Systems on Ground and Air


    ترجمه فارسی عنوان مقاله:

    روند هوش مصنوعی و قابلیت اطمینان در سیستمهای خودمختار ایمنی در زمین و هوا


    منبع:

    IEEE - 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2020; ; ;10.1109/DSN-W50199.2020.00024


    نویسنده:

    Jyotika Athavale*, Andrea Baldovin+, Ralf Graefe+, Michael Paulitsch, Rafael Rosales


    چکیده انگلیسی:

    Safety-critical autonomous systems are becoming more powerful and more integrated to enable higher-level functionality. Modern multi-core SOCs are often the computing backbone in such systems for which safety and associated certification tasks are one of the key challenges, which can become more costly and difficult to achieve. Hence, modeling and assessment of these systems can be a formidable task. In addition, Artificial Intelligence (AI) is already being deployed in safety critical autonomous systems and Machine Learning (ML) enables the achievement of tasks in a cost-effective way. Compliance to Soft Error Rate (SER) requirements is an important element to be successful in these markets. When considering SER performance for functional safety, we need to focus on accurately modeling vulnerability factors for transient analysis based on AI and Deep Learning workloads. We also need to consider the reliability implications due to long mission times leading to high utilization factors for autonomous transport. The reliability risks due to these new use cases also need to be comprehended for modeling and mitigation and would directly impact the safety analysis for these systems. Finally, the need for telemetry for reliability, including capabilities for anomaly detection and prognostics techniques to minimize field failures is of paramount importance.
    Index Terms : SER | safety | AI | ML. reliability


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 4
    حجم فایل: 336 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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