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For Really Low Power Neural Networks Try Spiking Neural Networks

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Manage episode 513513441 series 3545804
Content provided by Endeavor Business Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Endeavor Business Media 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.

Spiking neural networks (SNN), also known as neuromorphic computing, are one way to implement artificial intelligence/machine learning models. It has significant advantages over the more popular digital deep neural networks (DNN) like convolutional neural networks (CNN), including very low power operation.

Innatera’s CEO, Sumeet Kumar, taks about how the company's new, ultra low power microcontroller can provide always-on (AON) SNN support in battery power- or energy harvesting-based applications.

  continue reading

84 episodes

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iconShare
 
Manage episode 513513441 series 3545804
Content provided by Endeavor Business Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Endeavor Business Media 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.

Spiking neural networks (SNN), also known as neuromorphic computing, are one way to implement artificial intelligence/machine learning models. It has significant advantages over the more popular digital deep neural networks (DNN) like convolutional neural networks (CNN), including very low power operation.

Innatera’s CEO, Sumeet Kumar, taks about how the company's new, ultra low power microcontroller can provide always-on (AON) SNN support in battery power- or energy harvesting-based applications.

  continue reading

84 episodes

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