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Achieving 90% precision in real-time energy monitoring on microcontrollers could revolutionize how we deploy NILM systems in privacy-sensitive environments.
Tsetlin Machines can outperform Binarized Neural Networks in accuracy while slashing execution time and energy consumption, making them a game-changer for edge AI applications.