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BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited Paper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Tim Llewellynn
  • M. Milagro Fernández-Carrobles
  • Oscar Deniz
  • Samuel Fricker
  • Amos Storkey
  • Nuria Pazos
  • Gordana Velikic
  • Kirsten Leufgen
  • Rozenn Dahyot
  • Sebastian Koller
  • Georgios Goumas
  • Peter Leitner
  • Ganesh Dasika
  • Lei Wang
  • Kurt Tutschku

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Original languageEnglish
Title of host publicationProceedings of the Computing Frontiers Conference
Place of PublicationNew York, NY, USA
PublisherACM
Pages299-304
Number of pages6
ISBN (Print)978-1-4503-4487-6
DOIs
Publication statusPublished - 15 May 2017
EventACM International Conference on Computing Frontiers 2017 - Siena, Italy
Duration: 15 May 201717 May 2017
http://www.computingfrontiers.org/2017/

Publication series

NameCF'17
PublisherACM

Conference

ConferenceACM International Conference on Computing Frontiers 2017
Abbreviated titleCF 2017
CountryItaly
CitySiena
Period15/05/1717/05/17
Internet address

Abstract

The Bonseyes EU H2020 collaborative project aims to develop a platform consisting of a Data Marketplace, a Deep Learning Toolbox, and Developer Reference Platforms for organizations wanting to adopt Artificial Intelligence. The project will be focused on using artificial intelligence in low power Internet of Things (IoT) devices ("edge computing"), embedded computing systems, and data center servers ("cloud computing"). It will bring about orders of magnitude improvements in efficiency, performance, reliability, security, and productivity in the design and programming of systems of artificial intelligence that incorporate Smart Cyber-Physical Systems (CPS). In addition, it will solve a causality problem for organizations who lack access to Data and Models. Its open software architecture will facilitate adoption of the whole concept on a wider scale. To evaluate the effectiveness, technical feasibility, and to quantify the real-world improvements in efficiency, security, performance, effort and cost of adding AI to products and services using the Bonseyes platform, four complementary demonstrators will be built. Bonseyes platform capabilities are aimed at being aligned with the European FI-PPP activities and take advantage of its flagship project FIWARE. This paper provides a description of the project motivation, goals and preliminary work.

Event

ACM International Conference on Computing Frontiers 2017

15/05/1717/05/17

Siena, Italy

Event: Conference

ID: 39094582