Running LSTM inference on Arduino Uno: extreme edge AI deployment

Porting Keras LSTM model trained in Python to bare-metal C++ on Arduino Uno microcontroller for industrial failure prediction

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Optimization challenge: adapting recurrent neural network to ultra-constrained hardware (memory/power) typical of serverless IoT environments

Edge computing use case: predictive maintenance for aerospace turbines deployed directly on-site without cloud dependency

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