The double link between network science and artificial intelligence: a key to scalable learning solutions?

Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta

Research output: Contribution to conferencePosterAcademic

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Abstract

In a world with an exponential increase in the amount of generated data, the scalable learning solutions may represent an option for processing and understanding these data in a fully automated manner. This research presents an alternative approach to solve some of the big data problems, by making use of network science concepts to address scalability issues in artificial intelligence (i.e. deep learning), while at the same time by making use of artificial intelligence concepts (i.e. swarm intelligence) to solve scalability issues in network science (i.e. centrality metrics in large complex networks).
Original languageEnglish
Publication statusPublished - 29 Jun 2016
EventEuropean Data Forum, EDF 2016: Scaling up the European data economy - Eindhoven University of Technology, Eindhoven, Netherlands
Duration: 29 Jun 201630 Jun 2016

Conference

ConferenceEuropean Data Forum, EDF 2016
Abbreviated titleEDF
CountryNetherlands
CityEindhoven
Period29/06/1630/06/16

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