Dependable machine intelligence at the tactical edge

• Main Authors: MISRA, Archan, JAYARAJAH, Kasthuri, WEERAKOON MUDIYANSELAGE, Dulanga Kaveesha Weerakoon, DARATAN, Randy Tandriansyah, YAO, Shuochao, ABDELZAHER, Tarek
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Deep Learning; Edge Computing; Collaborative Sensing; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4788; https://ink.library.smu.edu.sg/context/sis_research/article/5791/viewcontent/spie_paper__1_.pdf
• Institution: Singapore Management University

The paper describes a vision for dependable application of machine learning-based inferencing on resource-constrained edge devices. The high computational overhead of sophisticated deep learning learning techniques imposes a prohibitive overhead, both in terms of energy consumption and sustainable p...