Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design alternative architectures that could be better suited for running these models.
Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
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