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Artificial intelligence is a promising technology which is already surrounding us with different useful applications like voice control, or computer vision. And in the automotive industry, it’s playing its part in the development of automated vehicle technology and advanced vehicle interior solutions. But there are still some drawbacks to this maturing technology.


This paper accompanies a FISITA online event about AI & Hybridisation Techniques, addressing new techniques such as Bayesian approaches, hybridisation techniques, the fusion of artificial intelligence and deterministic models, or new amorphic technologies. These are the technologies of the future and will set up new trade-offs that will benefit product designers and end users.



Accenture Labs: Andreea Danilescu; Ecole Polytechnique Paris: Eric Moulines; Forvia: Christophe Aufrère; Inria: Jean Ponce; Intel: Tim Shea

Executive Summary from the AI & Hybridisation Techniques Technology Discussion

FOP2022-06-01 • Paper • FISITA Output Paper

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