Article | 30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden | Energy Efficiency in Machine Learning: A position paper
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Title:
Energy Efficiency in Machine Learning: A position paper
Author:
Eva Garcia-Martin: Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden Niklas Lavesson: Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden HĂĄkan Grahn: Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden Veselka Boeva: Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden
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Full text (pdf)
Year:
2017
Conference:
30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden
Issue:
137
Article no.:
008
Pages:
68-72
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
2017-05-12
ISBN:
978-91-7685-496-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Machine learning algorithms are usually evaluated and developed in terms of predictive performance. Since these types of algorithms often run on large-scale data centers, they account for a significant share of the energy consumed in many countries. This position paper argues for the reasons why developing energy efficient machine learning algorithms is of great importance.

Keywords: machine learning, green machine learning, energy efficiency, sustainable machine learning

30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden

Author:
Eva Garcia-Martin, Niklas Lavesson, HĂĄkan Grahn, Veselka Boeva
Title:
Energy Efficiency in Machine Learning: A position paper
References:

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30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden

Author:
Eva Garcia-Martin, Niklas Lavesson, HĂĄkan Grahn, Veselka Boeva
Title:
Energy Efficiency in Machine Learning: A position paper
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Last updated: 2017-02-21