Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR a SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017. 2017
DOI: 10.3390/is4si-2017-04025
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Cognitive Computing Architectures for Machine (Deep) Learning at Scale

Abstract: The paper reviews existing models for organizing information for machine learning systems in heterogeneous computing environments. In this context, we focus on structured knowledge representations as they have played a key role in enabling machine learning at scale. The paper highlights recent case studies where knowledge structures when combined with the knowledge of the distributed computation graph have accelerated machine-learning applications by 10 times or more. We extend these concepts to the design of … Show more

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