Post by: Tarek Abdelzaher in SIGBED Blog
We highlight a dangerous pitfall in the state-of-the-art evaluation methodology of deep learning algorithms, as applied in several CPS and IoT application spaces, where collecting data from physical experiments is difficult. The article is inspired by the real experiences of the authors. An extended version appears in the IoT-AE Workshop in conjunction with MILCOM 2022 [1]. Few would disagree today…
Post by: Tarek Abdelzaher in SIGBED Blog
This article argues that a key new frontier for the real-time systems research community lies in developing the architectural and algorithmic foundations of real-time artificial intelligence. As always, by “real-time” we do not mean fast (or “streaming”), but rather “with a capability to respond predictably to different urgency (and criticality) requirements”. A key challenge in modern AI is perception. Machine…
Post by: Tarek Abdelzaher in SIGBED Blog
A significant contribution of the embedded systems research community to a broad spectrum of modern-day applications has been the attainment of dependability of various technological artifacts in the face of increasing unknowns. The term “dependability” here is used broadly to mean assurances on freedom from unwanted behavior. For instance, research on temporal guarantees offered solutions for satisfaction of time constraints…