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

doi:10.1109/FPL53798.2021.00071

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

Onderzoeksoutput: Conference paper

4 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	English
Titel	31st International Conference on Field-Programmable Logic and Applications (FPL)
Plaats van productie	Dresden, Germany
Uitgeverij	IEEE
Pagina's	374-375
Aantal pagina's	2
Uitgave	31
ISBN van elektronische versie	978-1-6654-3759-2
ISBN van geprinte versie	978-1-6654-4243-5
DOI's	https://doi.org/10.1109/FPL53798.2021.00071
Status	Published - 12 okt. 2021
Evenement	31st International Conference on Field-Programmable Logic and Applications - Dresden, Dresden, Germany Duur: 30 aug. 2021 → 3 sep. 2021 Congresnummer: 31 https://cfaed.tu-dresden.de/fpl2021/welcome-to-fpl2021

Publicatie series

Naam	2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)
ISSN van geprinte versie	1946-1488

Conference

Conference	31st International Conference on Field-Programmable Logic and Applications
Verkorte titel	FPL
Land/Regio	Germany
Stad	Dresden
Periode	30/08/21 → 3/09/21
Internet adres	https://cfaed.tu-dresden.de/fpl2021/welcome-to-fpl2021

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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 uitgave, blz. 374-375). (2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)). IEEE. https://doi.org/10.1109/FPL53798.2021.00071

Brandalero, Marcelo ; Veleski, Mitko ; Muñoz Hernandez, Hector Gerardo et al. / AITIA: Embedded AI Techniques for Industrial Applications. 31st International Conference on Field-Programmable Logic and Applications (FPL). 31. uitgave Dresden, Germany : IEEE, 2021. blz. 374-375 (2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)).

@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",

}

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, blz. 374-375, 31st International Conference on Field-Programmable Logic and Applications , Dresden, Germany, 30/08/21. https://doi.org/10.1109/FPL53798.2021.00071

AITIA: Embedded AI Techniques for Industrial Applications. / Brandalero, Marcelo; Veleski, Mitko; Muñoz Hernandez, Hector Gerardo et al.
31st International Conference on Field-Programmable Logic and Applications (FPL). 31. uitgave Dresden, Germany: IEEE, 2021. blz. 374-375 (2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)).

Onderzoeksoutput: Conference paper

TY - GEN

T1 - AITIA: Embedded AI Techniques for Industrial Applications

AU - Brandalero, Marcelo

AU - Veleski, Mitko

AU - Muñoz Hernandez, Hector Gerardo

AU - Ali, Muhammad

AU - Le Jeune, Laurens

AU - Goedeme, Toon

AU - Mentens, Nele

AU - Vandendriessche, Jurgen

AU - Lhoest, Lancelot Charles

AU - da Silva, Bruno

AU - Touhafi, Abdellah

AU - Goehringer, Diana

AU - Hubner, Michael

N1 - Conference code: 31

PY - 2021/10/12

Y1 - 2021/10/12

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Machine learning

KW - embedded systems

KW - smart sensors

KW - network intrusion detection

KW - driver-assistance systems

KW - industry 4.0

UR - https://ieeexplore.ieee.org/abstract/document/9556476

UR - http://www.scopus.com/inward/record.url?scp=85125814565&partnerID=8YFLogxK

U2 - 10.1109/FPL53798.2021.00071

DO - 10.1109/FPL53798.2021.00071

M3 - Conference paper

SN - 978-1-6654-4243-5

T3 - 2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)

SP - 374

EP - 375

BT - 31st International Conference on Field-Programmable Logic and Applications (FPL)

PB - IEEE

CY - Dresden, Germany

T2 - 31st International Conference on Field-Programmable Logic and Applications

Y2 - 30 August 2021 through 3 September 2021

ER -

Brandalero M, Veleski M, Muñoz Hernandez HG, Ali M, Le Jeune L, Goedeme T et al. AITIA: Embedded AI Techniques for Industrial Applications. In 31st International Conference on Field-Programmable Logic and Applications (FPL). 31 uitgave Dresden, Germany: IEEE. 2021. blz. 374-375. (2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021)). doi: 10.1109/FPL53798.2021.00071

AITIA: Embedded AI Techniques for Industrial Applications

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