Deploying deep learning models efficiently on heterogeneous hardware remains challenging. Here, authors present a mixed-precision supernetwork that jointly optimizes model mapping and adaptation, ...
Artificial neural networks can potentially control autonomous robots, vehicles, factories, or game players more robustly than traditional approaches. Neuroevolution, i.e. the artificial evolution of ...
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