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The Future of Artificial Intelligence and Machine Learning in Avionics Systems

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Manage episode 356930655 series 2127142
Content provided by Tech Briefs (SAE Media Group). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tech Briefs (SAE Media Group) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 356930655 series 2127142
Content provided by Tech Briefs (SAE Media Group). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tech Briefs (SAE Media Group) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

52 episodes

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