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  • cogment2019

    Rights statement: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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Augmenting Cognition Through Edge Computing

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Augmenting Cognition Through Edge Computing. / Satyanarayanan, Mahadev; Davies, Nigel Andrew Justin.
In: Computer, Vol. 52, No. 7, 01.07.2019, p. 37-46.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Satyanarayanan, M & Davies, NAJ 2019, 'Augmenting Cognition Through Edge Computing', Computer, vol. 52, no. 7, pp. 37-46. https://doi.org/10.1109/MC.2019.2911878

APA

Satyanarayanan, M., & Davies, N. A. J. (2019). Augmenting Cognition Through Edge Computing. Computer, 52(7), 37-46. https://doi.org/10.1109/MC.2019.2911878

Vancouver

Satyanarayanan M, Davies NAJ. Augmenting Cognition Through Edge Computing. Computer. 2019 Jul 1;52(7):37-46. doi: 10.1109/MC.2019.2911878

Author

Satyanarayanan, Mahadev ; Davies, Nigel Andrew Justin. / Augmenting Cognition Through Edge Computing. In: Computer. 2019 ; Vol. 52, No. 7. pp. 37-46.

Bibtex

@article{88aa5139680e449dadbaf09f05cbe040,
title = "Augmenting Cognition Through Edge Computing",
abstract = "Augmented cognition can transform human capabilities, but delivering its benefits in real-time will require low-latency wireless access to powerful infrastructure resources from lightweight wearable devices. Edge computing is the only viable approach to meeting these stringent requirements. In this paper, we explore the symbiotic relationship between augmented cognition and edge computing. We show how off-the-shelf wearable hardware, standard AI technologies such as computer vision, and edge computing can be combined to create a system that is much greater than the sum of its parts. Augmenting human cognition thus emerges as a prime example of a new class of edge-native applications that can become “killer apps” for edge computing.",
keywords = "cognition, distributed processing, lightweight wearable devices, powerful infrastructure resources, Low latency wireless access, augmented cognition, edge computing, Task analysis, cloud computing, sensors, augmented reality, servers, wireless sensor networks",
author = "Mahadev Satyanarayanan and Davies, {Nigel Andrew Justin}",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2019",
month = jul,
day = "1",
doi = "10.1109/MC.2019.2911878",
language = "English",
volume = "52",
pages = "37--46",
journal = "Computer",
issn = "0018-9162",
publisher = "IEEE COMPUTER SOC",
number = "7",

}

RIS

TY - JOUR

T1 - Augmenting Cognition Through Edge Computing

AU - Satyanarayanan, Mahadev

AU - Davies, Nigel Andrew Justin

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Augmented cognition can transform human capabilities, but delivering its benefits in real-time will require low-latency wireless access to powerful infrastructure resources from lightweight wearable devices. Edge computing is the only viable approach to meeting these stringent requirements. In this paper, we explore the symbiotic relationship between augmented cognition and edge computing. We show how off-the-shelf wearable hardware, standard AI technologies such as computer vision, and edge computing can be combined to create a system that is much greater than the sum of its parts. Augmenting human cognition thus emerges as a prime example of a new class of edge-native applications that can become “killer apps” for edge computing.

AB - Augmented cognition can transform human capabilities, but delivering its benefits in real-time will require low-latency wireless access to powerful infrastructure resources from lightweight wearable devices. Edge computing is the only viable approach to meeting these stringent requirements. In this paper, we explore the symbiotic relationship between augmented cognition and edge computing. We show how off-the-shelf wearable hardware, standard AI technologies such as computer vision, and edge computing can be combined to create a system that is much greater than the sum of its parts. Augmenting human cognition thus emerges as a prime example of a new class of edge-native applications that can become “killer apps” for edge computing.

KW - cognition

KW - distributed processing

KW - lightweight wearable devices

KW - powerful infrastructure resources

KW - Low latency wireless access

KW - augmented cognition

KW - edge computing

KW - Task analysis

KW - cloud computing

KW - sensors

KW - augmented reality

KW - servers

KW - wireless sensor networks

U2 - 10.1109/MC.2019.2911878

DO - 10.1109/MC.2019.2911878

M3 - Journal article

VL - 52

SP - 37

EP - 46

JO - Computer

JF - Computer

SN - 0018-9162

IS - 7

ER -