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Achieving a 5脳 speedup in kernel-level operations while maintaining accuracy could revolutionize long-context modeling efficiency on NPUs.
Android agents can now learn much faster by squeezing more value out of each emulator interaction, thanks to a novel "Single State Multiple Actions" training paradigm.