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

Published: 15 May 2017 Publication History

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.

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cover image ACM Conferences
CF'17: Proceedings of the Computing Frontiers Conference
May 2017
450 pages
ISBN:9781450344876
DOI:10.1145/3075564
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 15 May 2017

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Author Tags

  1. Data marketplace
  2. Deep Learning
  3. Internet of things
  4. Smart Cyber-Physical Systems

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  • Research-article
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  • Refereed limited

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CF '17
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CF '17: Computing Frontiers Conference
May 15 - 17, 2017
Siena, Italy

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CF'17 Paper Acceptance Rate 43 of 87 submissions, 49%;
Overall Acceptance Rate 273 of 785 submissions, 35%

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  • (2023)ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and TradingProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609556(374-383)Online publication date: 6-Sep-2023
  • (2023)Architecture of a Software Platform for Affordable Artificial Intelligence in ManufacturingArtificial Intelligence in Manufacturing10.1007/978-3-031-46452-2_6(87-103)Online publication date: 28-Sep-2023
  • (2023)Introduction and Theoretical FoundationsThe Relational Governance of Artificial Intelligence10.1007/978-3-031-25023-1_1(1-23)Online publication date: 4-Feb-2023
  • (2022)Data Market Design: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2022.316147810(33123-33153)Online publication date: 2022
  • (2021)Automated Design Space Exploration for Optimized Deployment of DNN on Arm Cortex-A CPUsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2020.304656840:11(2293-2305)Online publication date: Nov-2021
  • (2020)Licensing in Artificial Intelligence Competitions and Consortium Project Collaborations2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA51224.2020.00056(292-301)Online publication date: Aug-2020
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  • (2020)Distributed Ledger for Provenance Tracking of Artificial Intelligence AssetsPrivacy and Identity Management. Data for Better Living: AI and Privacy10.1007/978-3-030-42504-3_26(411-426)Online publication date: 6-Mar-2020
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