Rise of the Autonomous Machines
Shaoshan Liu, Jean-Luc Gaudiot

TL;DR
This paper reviews the current state, challenges, and future research directions in the development of autonomous machines, aiming to guide the community towards clearer goals in this evolving field.
Contribution
It provides a comprehensive categorization of technical and non-technical challenges in autonomous machines and reviews current progress and research directions for each identified area.
Findings
Identified ten key areas with challenges and progress
Reviewed current status and potential research directions
Aims to guide future development and goal-setting
Abstract
After decades of uninterrupted progress and growth, information technology has so evolved that it can be said we are entering the age of autonomous machines, but there exist many roadblocks in the way of making this a reality. In this article, we make a preliminary attempt at recognizing and categorizing the technical and non-technical challenges of autonomous machines; for each of the ten areas we have identified, we review current status, roadblocks, and potential research directions. It is hoped that this will help the community define clear, effective, and more formal development goalposts for the future.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Advanced Neural Network Applications · Anomaly Detection Techniques and Applications
