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Continuum robot design can now be optimized with 5x less data and 30-50% higher accuracy, while also quantifying prediction uncertainty.
Forget training for days: this kernel-based operator learning method solves incompressible flow problems with up to six orders of magnitude better accuracy and five orders of magnitude faster training than neural operators.