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Standard deep segmentation models shatter when noise swamps signal, but enforcing explicit open-curve geometric topology cuts structural connectivity breaks by over 60% even at -20 dB SNR.
Synthetic data can enhance federated learning for clinical risk prediction, achieving robust performance even in highly fragmented data environments.
Cortex outperforms traditional models by enabling zero-shot execution of complex long-horizon tasks, bridging the gap between high-level planning and low-level execution.
Guaranteed uncertainty bounds in SLAM are now tractable and provable, even for full pipelines, thanks to a novel polytopic representation.
