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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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adaptation to environmental or lifestyle changes throughout human history. In particular, we are interested in understanding how evolutionary forces have shaped our genetic differences and how these may impact
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