Dependable machine intelligence at the tactical edge
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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
The challenge of collaborative IoT-based inferencing in adversarial settings
by: MISRA, Archan, et al.
Published: (2019) -
Five challenges in cloud-enabled intelligence and control
by: ABDELZAHER, Tarek, et al.
Published: (2020) -
Resilient Collaborative Intelligence for Adversarial IoT Environments
by: WEERAKOON, Dulanga, et al.
Published: (2019) -
Eugene: Towards deep intelligence as a service
by: YAO, Shuochao, et al.
Published: (2019) -
Enabling and optimizing multi-modal sense-making for human-AI interaction tasks
by: WEERAKOON MUDIYANSELAGE, Dulanga Kaveesha Weerakoon
Published: (2024)