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SE Radio 660: Pete Warden on TinyML

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Manage episode 472070812 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team 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://podcastplayer.com/legal.

Pete Warden, CEO of Useful Sensors and a founding member of the TensorFlow team at Google, discusses TinyML, the technology enabling machine learning on low-power, small-footprint devices. This innovation opens up applications such as voice-controlled devices, offline translation tools, and smarter embedded systems, which are crucial for privacy and efficiency.

SE Radio host Kanchan Shringi speaks with Warden about challenges like model compression, deployment constraints, and privacy concerns. They also explore applications in agriculture, healthcare, and consumer electronics, and close with some practical advice from Pete for newcomers to TinyML development.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1022 episodes

Artwork
iconShare
 
Manage episode 472070812 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team 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://podcastplayer.com/legal.

Pete Warden, CEO of Useful Sensors and a founding member of the TensorFlow team at Google, discusses TinyML, the technology enabling machine learning on low-power, small-footprint devices. This innovation opens up applications such as voice-controlled devices, offline translation tools, and smarter embedded systems, which are crucial for privacy and efficiency.

SE Radio host Kanchan Shringi speaks with Warden about challenges like model compression, deployment constraints, and privacy concerns. They also explore applications in agriculture, healthcare, and consumer electronics, and close with some practical advice from Pete for newcomers to TinyML development.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1022 episodes

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