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Licensed Unlicensed Requires Authentication Published by De Gruyter (O) September 3, 2022

Tools and methods for Edge-AI-systems

Werkzeuge und Methoden zum Entwurf von Edge-AI-Systemen
  • Nils Schwabe

    Nils Schwabe works as research scientist in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI, after finishing his M. Sc. Embedded Systems Engineering at the University of Freiburg in 2019. His research focus is on SoC architectures for AI applications.

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    , Yexu Zhou

    Yexu Zhou works as research scientist at the Karlsruhe Institute for Technology where he pursues his PhD focussing on AutoML and neural network applications. He received his M.Sc. in Mechanical Engineering from the Karlsruhe Institute of Technology in 2019.

    , Leon Hielscher

    Leon Hielscher works as research scientist in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI, after finishing his Informatics M. Sc. at the Karlsruher Institute of Technology in 2017. His research focus is on automated design and generation methodologies for SoC platforms.

    , Tobias Röddiger

    Tobias Röddiger works as research scientist at the Karlsruhe Institute for Technology where he pursues his PhD focussing on Wearable Computing Systems. He received his M. Sc. in Computer Science from the Karlsruhe Institute of Technology in 2019.

    , Till Riedel

    Till Riedel lab leader at TECO within the Chair for Pervasive Computing Systems of Michael Beigl and lecturer at the Karlsruhe Institute of Technology. He defended his PhD g on Middleware for Ubiquitous Systems at the Karlsruhe Institute of Technology in in 2012.

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    and Sebastian Reiter

    Sebastian Reiter works as department manager in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI. He finished his diploma in computer science at the University of Karlsruhe in 2008.

Abstract

The enormous potential of artificial intelligence, especially artificial neural networks, when used for edge computing applications in cars, traffic lights or smart watches, has not yet been fully exploited today. The reasons for this are the computing, energy and memory requirements of modern neural networks, which typically cannot be met by embedded devices. This article provides a detailed summary of today’s challenges and gives a deeper insight into existing solutions that enable neural network performance with modern HW/SW co-design techniques.

Zusammenfassung

Das außerordentliche Potenzial der künstlichen Intelligenz, insbesondere künstlicher neuronaler Netze, kann heute noch nicht voll ausgeschöpft werden, vor allem, wenn sie für Edge-Computing-Anwendungen bspw. in Autos, Ampeln oder intelligenten Uhren eingesetzt wird. Grund dafür sind hohe Anforderungen an Rechenleistung, Energie und Speicher moderner neuronaler Netze, die normalerweise nicht von eingebetteten Geräten erfüllt werden können. Dieser Artikel bietet eine detaillierte Zusammenfassung der heutigen Herausforderungen und gibt einen tieferen Einblick in bestehende Lösungen, die die Leistungsfähigkeit neuronaler Netze mit modernen HW/SW-Co-Design Techniken erhöht.

Funding statement: This work was supported as part of the Competence Center Karlsruhe for AI Systems Engineering (CC-KING, Az: 3-4332.62-FhG/38, https://www.ai-engineering.eu) by the Ministry of Economic Affairs, Labour, and Tourism Baden Württemberg.

About the authors

Nils Schwabe

Nils Schwabe works as research scientist in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI, after finishing his M. Sc. Embedded Systems Engineering at the University of Freiburg in 2019. His research focus is on SoC architectures for AI applications.

Yexu Zhou

Yexu Zhou works as research scientist at the Karlsruhe Institute for Technology where he pursues his PhD focussing on AutoML and neural network applications. He received his M.Sc. in Mechanical Engineering from the Karlsruhe Institute of Technology in 2019.

Leon Hielscher

Leon Hielscher works as research scientist in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI, after finishing his Informatics M. Sc. at the Karlsruher Institute of Technology in 2017. His research focus is on automated design and generation methodologies for SoC platforms.

Tobias Röddiger

Tobias Röddiger works as research scientist at the Karlsruhe Institute for Technology where he pursues his PhD focussing on Wearable Computing Systems. He received his M. Sc. in Computer Science from the Karlsruhe Institute of Technology in 2019.

Till Riedel

Till Riedel lab leader at TECO within the Chair for Pervasive Computing Systems of Michael Beigl and lecturer at the Karlsruhe Institute of Technology. He defended his PhD g on Middleware for Ubiquitous Systems at the Karlsruhe Institute of Technology in in 2012.

Sebastian Reiter

Sebastian Reiter works as department manager in the research division Intelligent Systems and Production Engineering (ISPE) at the FZI. He finished his diploma in computer science at the University of Karlsruhe in 2008.

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Received: 2022-02-17
Accepted: 2022-08-05
Published Online: 2022-09-03
Published in Print: 2022-09-27

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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