AITIA: Embedded AI Techniques for Industrial Applications

Marcelo Brandalero, Mitko Veleski, Hector Gerardo Muñoz Hernandez, Muhammad Ali, Laurens Le Jeune, Toon Goedeme, Nele Mentens, Jurgen Vandendriessche, Lancelot Charles Lhoest, Bruno da Silva, Abdellah Touhafi, Diana Goehringer, Michael Hubner

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

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication31st International Conference on Field-Programmable Logic and Applications (FPL)
Place of PublicationDresden, Germany
PublisherIEEE
Pages374-375
Number of pages2
Edition31
ISBN (Electronic)978-1-6654-3759-2
ISBN (Print)978-1-6654-4243-5
DOIs
Publication statusPublished - 12 Oct 2021
Event31st International Conference on Field-Programmable Logic and Applications - Dresden, Dresden, Germany
Duration: 30 Aug 20213 Sep 2021
Conference number: 31
https://cfaed.tu-dresden.de/fpl2021/welcome-to-fpl2021

Publication series

Name2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)
ISSN (Print)1946-1488

Conference

Conference31st International Conference on Field-Programmable Logic and Applications
Abbreviated titleFPL
CountryGermany
CityDresden
Period30/08/213/09/21
Internet address

Keywords

  • Artificial intelligence
  • Machine learning
  • embedded systems
  • smart sensors
  • network intrusion detection
  • driver-assistance systems
  • industry 4.0

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