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

Chapter in Book/ Report/ Conference proceeding

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.

Reference ■
 
Brandalero, M, Veleski, M, MuƱoz 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 2021 31st International Conference On Field-programmable Logic And Applications (fpl 2021). 31 edn, International Conference On Field Programmable Logic And Applications, 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., MuƱoz 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 2021 31st International Conference On Field-programmable Logic And Applications (fpl 2021) (31 ed., pp. 374-375). (International Conference On Field Programmable Logic And Applications). 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",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 31st International Conference on Field-Programmable Logic and Applications , FPL ; Conference date: 30-08-2021 Through 03-09-2021",
year = "2021",
month = oct,
day = "12",
doi = "10.1109/FPL53798.2021.00071",
language = "English",
isbn = "978-1-6654-4243-5",
series = "International Conference On Field Programmable Logic And Applications",
publisher = "IEEE",
pages = "374--375",
booktitle = "2021 31st International Conference On Field-programmable Logic And Applications (fpl 2021)",
edition = "31",
url = "https://cfaed.tu-dresden.de/fpl2021/welcome-to-fpl2021",
}