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The Future of AI and Machine Learning in Avionics Systems

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.

Subscribe   to the Here's an Idea podcast on  Apple Podcasts   or  Spotify  .

Topics:
Aerospace Artificial Intelligence Aviation

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