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The Future of Artificial Intelligence and Machine Learning in Avionics Systems

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Manage episode 356930655 series 2127142
Innhold levert av Tech Briefs (SAE Media Group). Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Tech Briefs (SAE Media Group) eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

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iconDel
 
Manage episode 356930655 series 2127142
Innhold levert av Tech Briefs (SAE Media Group). Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Tech Briefs (SAE Media Group) eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

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