Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
BONSEYES: Platform for Open Development of Systems of Artificial Intelligence
nVISO SA, CHE.
University of Castilla-La Mancha, ESP.
University of Castilla-La Mancha, ESP.
i4Ds Centre for Requirements Engineering, CHE.
Show others and affiliations
2017 (English)Conference paper, Published paper (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
ACM Digital Library, 2017.
Keyword [en]
Artificial Intelligence, Data Marketplace, Cloud computing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-15781DOI: 10.1145/3075564.3076259ISBN: 978-1-4503-4487-6 OAI: oai:DiVA.org:bth-15781DiVA, id: diva2:1175421
Conference
ACM International Conference on Computing Frontiers 2017
Projects
www.bonseyes.com
Funder
EU, Horizon 2020, 732204
Note

Invited paper

Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-01-19Bibliographically approved

Open Access in DiVA

fulltext(1212 kB)27 downloads
File information
File name FULLTEXT01.pdfFile size 1212 kBChecksum SHA-512
69ec99cfa44209ccf6120afc084b5a6c94880ae6b61997b1ddf3311e64b8c008ef1510e20c786bfd6a2425d4b8ee06b66a46645ac36e5efd76024135759edc3e
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Tutschku, Kurt
By organisation
Department of Computer Science and Engineering
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 27 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 126 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf