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Artificial intelligence and machine learning are transitioning from future-facing buzzwords to a near term possibility for commercial and military aircraft avionics systems.
In February, Intel published a jointly written white paper with Daedalean, a Switzerland-based startup and developer of artificial intelligence and machine learning software for avionics systems. The white paper proposes a reference architecture for addressing future certifiable machine-learned avionics systems requiring high-performance computing. Luuk van Dijk, co-founder and CEO of Daedalean, joins the podcast to discuss how the reference architecture could enable the use of artificial intelligence and machine learning in future avionics systems.
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Artificial intelligence and machine learning are transitioning from future-facing buzzwords to a near term possibility for commercial and military aircraft avionics systems.
In February, Intel published a jointly written white paper with Daedalean, a Switzerland-based startup and developer of artificial intelligence and machine learning software for avionics systems. The white paper proposes a reference architecture for addressing future certifiable machine-learned avionics systems requiring high-performance computing. Luuk van Dijk, co-founder and CEO of Daedalean, joins the podcast to discuss how the reference architecture could enable the use of artificial intelligence and machine learning in future avionics systems.