@inproceedings{4760bafafa0d4dccbebff9643f72eb71,
title = "Research Challenges for Combined Autonomy, AI, and Real-Time Assurance",
abstract = "Advances in machine intelligence revolutionized a broad category of safety-critical and mission-critical applications, but important challenges remain when applying these solutions at the embedded network edge, as opposed to resource-rich contexts. What challenges stem from deploying cost-sensitive applications on lower-end devices to offer AI at the point of need? We present an overview of key research challenges that must be addressed to provide assurance of timing and other safety properties for resource-constrained systems involving autonomy and artificial intelligence on-line. We then describe a vision and agenda for research targeting those challenges.",
keywords = "AI, Autonomy, ML, neural networks, real-time",
author = "Tarek Abdelzaher and Sanjoy Baruah and Chris Gill and Eugene Vorobeychik and Ning Zhang and Xuan Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2021 ; Conference date: 13-12-2021 Through 15-12-2021",
year = "2021",
doi = "10.1109/CogMI52975.2021.00029",
language = "English",
series = "Proceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "163--167",
booktitle = "Proceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021",
}