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.
Brandalero, M, Veleski, M, Muñoz Hernandez, HG, Ali, M, Le Jeune, L, Goedeme, T, Mentens, N, Vandendriessche, J, Lhoest, LC, da Silva, B, Touhafi, A, Goehringer, D & Hubner, M 2021, AITIA: Embedded AI Techniques for Industrial Applications. in 31st International Conference on Field-Programmable Logic and Applications (FPL). 31 edn, 2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021), IEEE, Dresden, Germany, pp. 374-375, 31st International Conference on Field-Programmable Logic and Applications , Dresden, Germany, 30/08/21. https://doi.org/10.1109/FPL53798.2021.00071
Brandalero, M., Veleski, M., Muñoz Hernandez, H. G., Ali, M., Le Jeune, L., Goedeme, T., Mentens, N., Vandendriessche, J., Lhoest, L. C., da Silva, B., Touhafi, A., Goehringer, D., & Hubner, M. (2021). AITIA: Embedded AI Techniques for Industrial Applications. In 31st International Conference on Field-Programmable Logic and Applications (FPL) (31 ed., pp. 374-375). (2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)). IEEE. https://doi.org/10.1109/FPL53798.2021.00071
@inproceedings{159978c8010849e29cffd7f8f80bf1f4,
title = "AITIA: Embedded AI Techniques for Industrial Applications",
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.",
keywords = "Artificial intelligence, Machine learning, embedded systems, smart sensors, network intrusion detection, driver-assistance systems, industry 4.0",
author = "Marcelo Brandalero and Mitko Veleski and {Mu{\~n}oz Hernandez}, {Hector Gerardo} and Muhammad Ali and {Le Jeune}, Laurens and Toon Goedeme and Nele Mentens and Jurgen Vandendriessche and Lhoest, {Lancelot Charles} and {da Silva}, Bruno and Abdellah Touhafi and Diana Goehringer and Michael Hubner",
year = "2021",
month = oct,
day = "12",
doi = "10.1109/FPL53798.2021.00071",
language = "English",
isbn = "978-1-6654-4243-5",
series = "2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)",
publisher = "IEEE",
pages = "374--375",
booktitle = "31st International Conference on Field-Programmable Logic and Applications (FPL)",
edition = "31",
note = "31st International Conference on Field-Programmable Logic and Applications , FPL ; Conference date: 30-08-2021 Through 03-09-2021",
url = "https://cfaed.tu-dresden.de/fpl2021/welcome-to-fpl2021",
}