Energy-efficient Artificial Intelligence
Energy-Efficient Artificial Intelligence is an academic concept referring to a class of artificial intelligence methods, models, or systems designed to minimize energy consumption during computation, inference, or training processes, particularly in resource-constrained environments such as edge devices, by optimizing algorithmic efficiency, hardware utilization, or data processing workflows.
283
Publications
19.3K
Citations
1.3K
Authors
464
Institutions
Publications per year
2017–2026
253
Variants
Energy-efficient Ai
Parents
283
Roy Schwartz, Jesse Dodge, Noah A. Smith et al. · Communications of the ACM · 2020 · 1.3K citations · Full text
The growing energy footprint of artificial intelligence
Alex de Vries · Joule · 2023 · 475 citations · Full text
1–5 of 283
1.3K
Korea Advanced Institute of Science and Technology, South Korea
7 publications · 285 citations
7
h-index
5
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5
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5
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5
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1–5 of 1.3K
464
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
25 publications
5.1K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
8 h-index
36 publications
1.5K citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
29 publications
1.8K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
19 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
28 publications
3K citations

Delft University of Technology
Delft, The Netherlands
5 h-index
10 publications
601 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
14 publications
548 citations
Institute of Computing Technology
Beijing, China
5 h-index
31 publications
2.5K citations
1–8 of 464
Repository · 26 publications · 2.5K citations
17
h-index
12 publications · 675 citations
11
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5 publications · 289 citations
5
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5 publications · 454 citations
5
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JETCAS · 5 publications · 174 citations
5
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1–5