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Physics-constrained generative models can now accurately capture complex parachute dynamics, paving the way for reduced reliance on costly physical testing.
Color-invariant neural nets get a boost: representing saturation and luminance on a circle, not a line, unlocks true equivariance and avoids artifacts that plague existing methods.