AITIA: Embedded AI Techniques for Industrial Applications

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

2021 31st International Conference on Field-Programmable Logic and Applications (FPL)（2021）

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摘要

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.

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关键词

artificial intelligence,machine learning,embedded systems,smart sensors,network intrusion detection,driver-assistance systems,industry 4.0

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