Machine learning (ML) can be applied at the ‘edge’ where data processing functions are tightly targeted and power consumption must be low.

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This hands-on tutorial shows how to choose and run machine learning models for solar power prediction using Google Colaboratory.

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load.