AITIA: Embedded AI Techniques for Embedded Industrial Applications

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Contributors

  • Marcelo Brandalero - (Author)
  • Mitko Veleski - (Author)
  • Hector Gerardo Muñoz Hernandez - (Author)
  • Muhammad Ali - , Chair of Adaptive Dynamic Systems (Author)
  • Laurens Le Jeune - (Author)
  • Toon Goedemé - (Author)
  • Nele Mentens - (Author)
  • Jurgen Vandendriessche - (Author)
  • Lancelot Lhoest - (Author)
  • Bruno da Silva - (Author)
  • Abdellah Touhafi - (Author)
  • Diana Göhringer - , Chair of Adaptive Dynamic Systems (Author)
  • Michael Hübner - (Author)

Abstract

Motivated by an increasing interest from startups in embedded Artificial Intelligence (AI) and by their limited expertise, the AITIA Project targets the development of embedded AI techniques for industrial applications. This extended abstract presents the motivation and the solutions being developed towards four use cases: smart sensors, network intrusion detection, driver-assistance systems, and Industry 4.0.

Details

Original languageEnglish
Title of host publication2021 31st International Conference on Field-Programmable Logic and Applications (FPL)
PublisherIEEE Xplore
Pages374-375
Number of pages2
ISBN (electronic)978-1-6654-3759-2
ISBN (print)978-1-6654-4243-5
Publication statusPublished - 2021
Peer-reviewedYes

Publication series

SeriesInternational Conference on Field Programmable Logic and Applications (FPL)
ISSN1946-147X

Conference

Title2021 31st International Conference on Field Programmable Logic and Applications
Abbreviated titleFPL 2021
Conference number31
Duration30 August - 3 September 2021
Locationonline
CityDresden
CountryGermany

External IDs

ORCID /0000-0003-2571-8441/work/142240586

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Keywords

  • AI

Library keywords