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Untangling the chaotic web of microservice failures just got easier: a new model uses temporal graph neural networks to pinpoint faults by jointly learning how services evolve and interact.
Humanoid robots can now traverse complex terrains with whole-body coordination thanks to a novel framework that blends diffusion-based motion generation with robust RL-based tracking.
FLASH enables robots to master complex deformable manipulation tasks in minutes using only synthetic data, eliminating the need for labor-intensive real-world training.
