Everything about embedded machine learning

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The historic development and evolution of embedded AI may be traced back to the 1950s. Which was the early times of AI research. But, it wasn't right up until the late seventies and early 1980s that embedded AI systems started to be deployed in real-environment applications.

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Machine learning (ML) lets us to show computer systems for making predictions and decisions dependant on data and learn from experiences. In recent times, extraordinary optimizations are made to machine learning algorithms, software frameworks, and embedded hardware.

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