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Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis
Charles Tripp
, Erik Bensen
, Lucas Hayne
, Jordan Perr-Sauer
,
Monte Lunacek
Computational Science
Research output
:
NLR
›
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Dive into the research topics of 'Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis'. Together they form a unique fingerprint.
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Computer Science
Energy Efficiency
100%
Artificial Intelligence
100%
Deep Learning Method
100%
Neural Network
50%
Performance Model
25%
Scientific Evidence
25%
Small Fraction
25%
Learning Performance
25%
Computational Resource
25%
Engineering
Energy Efficiency
100%
Artificial Intelligence
100%
Deep Learning Method
100%
Computational Resource
25%
Forward Path
25%
Scale Network
25%
Error Rate
25%
Economics, Econometrics and Finance
Specific Industry
100%
Price
100%
Commerce
100%
Energy Cost
100%
Chemical Engineering
Artificial Intelligence
100%
Deep Learning Method
100%
Neural Network
50%
Psychology
Artificial Intelligence
100%
Neural Network
50%
Error Rate
25%