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What Should We Learn From... Big Data: Theoretical Aspects from Proceedings of the IEEE Jan. 2016

1 January 2016
Big data has burst into public awareness over the past few years as people have become more and more aware of the massive amount of data being produced by social and scientific activities, and its potential utilization for good or harm. This special issue on "Big Data: Theoretical Aspects", published in Proceedings of the IEEE Jan. 2016, highlights a number of algorithmic approaches that are fundamental to data analysis, both in formulating and solving problems.
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Engineer and Artist - A Promising Collaboration

1 December 2015
In November 2015, IEEE Potentials published a theme issue focusing on the intersection of engineering and science with the arts. This engineering and art theme issue presents articles that dissect and present, in simple terms, the many interesting outcomes possible when we begin to wear the hats of both an engineer or scientist and an artist.
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