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ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.
Incorporating egocentric human video data into robotic training can lead to substantial performance gains, with ACE-EGO-0 setting new benchmarks in VLA tasks.
Achieve superior video generation quality and temporal coherence without expensive retraining by intelligently scaling and steering diffusion models at test time.
