Efficient sensing: Difference between revisions

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''This page is about the applications of machine learning (ML) in the context of sensors. For an overview of sensors more generally, please see the [https://en.wikipedia.org/wiki/Sensor Wikipedia page] on this topic.''
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The proliferation of sensors poses the question of how to minimize the energy use related to capturing, sending and storing the data. ML can help recognize what is the most information, possibly on the edge, make sensing more efficient.
 
The proliferation of sensors poses the question of how to minimize the energy use related to capturing, sending and storing the data. ML can help recognize what is the most information, possibly on the edge, make sensing more efficient.

Latest revision as of 13:51, 26 August 2021

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This page is about the applications of machine learning (ML) in the context of sensors. For an overview of sensors more generally, please see the Wikipedia page on this topic.


The proliferation of sensors poses the question of how to minimize the energy use related to capturing, sending and storing the data. ML can help recognize what is the most information, possibly on the edge, make sensing more efficient.

Background Readings[edit | edit source]

Community[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

References[edit | edit source]