SMRTR summary
Physical systems like gyroscopes, springs, and rods can be used as computers by encoding information in their movement. A network of 100 gyroscopes connected by 300 springs, trained using standard machine learning methods, achieved 83.4% accuracy classifying handwritten digits — outperforming a basic linear classifier.
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