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
Håkan 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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Published in: 30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden
Linköping Electronic Conference Proceedings 137:8, p. 68-72
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.
machine learning, green machine learning, energy efficiency, sustainable machine learning
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