Is TinyML Sustainable?

Is TinyML Sustainable?

Assessing the environmental impacts of machine learning on microcontrollers.

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Bibliographische Detailangaben
Veröffentlicht in:Communications of the ACM 2023-11, Vol.66 (11), p.68-77
Hauptverfasser: Prakash, Shvetank, Stewart, Matthew, Banbury, Colby, Mazumder, Mark, Warden, Pete, Plancher, Brian, Reddi, Vijay Janapa
Format: Magazinearticle
Sprache:eng
Schlagworte:
Algorithms
Applied computing
Carbon
Computing industry
Computing methodologies
Cost analysis
Earth and atmospheric sciences
Emissions
Emissions control
Environmental sciences
Hardware
Impact on the environment
Life cycle analysis
Machine learning
Physical sciences and engineering
Power and energy
Professional topics
Social and professional topics
Sustainability
Sustainable development
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Beschreibung
Zusammenfassung:Assessing the environmental impacts of machine learning on microcontrollers.
ISSN:0001-0782
1557-7317
DOI:10.1145/3608473