The Daedalean PilotEye system onboard a flight-testing aircraft. (Image: Daedalean)

Artificial intelligence (AI) and machine learning are transitioning from future-facing buzzwords to a near-term possibility for commercial aircraft avionics systems.

In February, Intel published a jointly written whitepaper with Daedalean, a Switzerland-based startup and developer of AI and machine learning software for avionics systems. The whitepaper 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 AI and machine learning in future avionics systems.

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