Lifelong Learning on Harvested Energy

  title={Lifelong Learning on Harvested Energy},
  author={Shahriar Nirjon},
We introduce the vision of lifelong and intermittent learning, which will enable batteryless computing platforms to execute a certain class of machine learning tasks. We identify key properties and challenges to learning on harvested energy which relates to the semantics of machine learning tasks. Each of these challenges leads to a new research direction… CONTINUE READING

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