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Deploying Computer Vision to the Edge at Anduril Industries with Forrest Iandola

55:25
 
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Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on July 28, 2022 13:09 (1+ y ago). Last successful fetch was on April 07, 2022 07:18 (2y ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 307378952 series 1438211
Sisällön tarjoaa Security – Software Engineering Daily. Security – Software Engineering Daily tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Neural networks, in particular, deep neural networks have revolutionized machine learning. Researchers and companies have pushed on the efficiency of every aspect of the machine learning lifecycle. The impact of the trained models is particularly significant for computer vision and in turn for autonomous driving and security systems.

In this episode, I interview Forrest Iandola, Head of Perception at Anduril Industries. We discuss their Lattice solution which can plug into a variety of devices such as ground vehicles, security cameras, and drones. It does AI and sensor fusion out-of-box. We discuss field deployments of these systems and how to run ML on the edge.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Deploying Computer Vision to the Edge at Anduril Industries with Forrest Iandola appeared first on Software Engineering Daily.

  continue reading

73 jaksoa

Artwork
iconJaa
 

Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on July 28, 2022 13:09 (1+ y ago). Last successful fetch was on April 07, 2022 07:18 (2y ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 307378952 series 1438211
Sisällön tarjoaa Security – Software Engineering Daily. Security – Software Engineering Daily tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Neural networks, in particular, deep neural networks have revolutionized machine learning. Researchers and companies have pushed on the efficiency of every aspect of the machine learning lifecycle. The impact of the trained models is particularly significant for computer vision and in turn for autonomous driving and security systems.

In this episode, I interview Forrest Iandola, Head of Perception at Anduril Industries. We discuss their Lattice solution which can plug into a variety of devices such as ground vehicles, security cameras, and drones. It does AI and sensor fusion out-of-box. We discuss field deployments of these systems and how to run ML on the edge.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Deploying Computer Vision to the Edge at Anduril Industries with Forrest Iandola appeared first on Software Engineering Daily.

  continue reading

73 jaksoa

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