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Achieving up to 5x speedups in Bayesian inference on edge devices could revolutionize real-time decision-making in resource-limited settings.
You can now train Gaussian Splatting models on your edge device, thanks to a clever optimization that slashes memory use by 8x and speeds up training by 4x, all without sacrificing reconstruction quality.
