Everything about embedded machine learning

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ONNX Runtime: It’s an open-source inference engine for working machine learning models on a number of platforms. This contains embedded devices. It’s optimized for performance and effectiveness, making it perfect for embedded AI applications.

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In the early 2000s, the development of machine learning and deep learning algorithms resulted in a different generation of embedded AI systems. These systems had been in the position to perform additional complicated AI tasks. Including picture recognition, purely natural language processing, and speech recognition.

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