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Achieve energy-efficient, accurate spiking neural network inference on the edge with a RISC-V SoC that consumes just 1.05 pJ per synaptic operation.
Diffusion models can generate synthetic cardiac MRIs that balance image quality, downstream task performance, and patient privacy better than flow-based alternatives, offering a promising route to data augmentation in medical imaging.
