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A new research project from Carnegie Mellon University, funded by a $2.6 million grant from the National Science Foundation, aims to make microchips smarter and more efficient by analyzing the data they collect about themselves. The Statistical Learning in Chip project is focused on developing an integrated machine learning engine that can help chips dynamically manage their resource consumption and keep it at optimum levels. This would make the chips, and the devices running on them, more energy-efficient, resulting in longer battery life and cooler operating temperatures.