AITIA: Embedded AI Techniques for Embedded Industrial Applications
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
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Title of host publication | Proceedings - 2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021 |
Publisher | IEEE Xplore |
Pages | 374-375 |
Number of pages | 2 |
ISBN (electronic) | 978-1-6654-3759-2 |
ISBN (print) | 978-1-6654-4243-5 |
Publication status | Published - 2021 |
Peer-reviewed | Yes |
Publication series
Series | International Conference on Field Programmable Logic and Applications (FPL) |
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ISSN | 1946-147X |
Conference
Title | 31st International Conference on Field-Programmable Logic and Applications, FPL 2021 |
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Duration | 30 August - 3 September 2021 |
City | Virtual, Dresden |
Country | Germany |
External IDs
ORCID | /0000-0003-2571-8441/work/142240586 |
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Scopus | 85125814565 |
Mendeley | 43df49b9-0b89-31bb-b42f-76772678d91d |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
ASJC Scopus subject areas
Keywords
- Artificial intelligence, Driver-assistance systems, Embedded systems, Industry 4.0, Machine learning, Network intrusion detection, Smart sensors