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It is actually the application of machine learning and deep learning algorithms to devices that have restricted computing ability. The systems are often deployed on edge devices.
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Machine learning (ML) will allow us to teach personal computers to ML for embedded systems make predictions and decisions dependant on data and learn from ordeals. In recent years, remarkable optimizations have already been made to machine learning algorithms, software frameworks, and embedded hardware.
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