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CAZO achieves state-of-the-art test-time adaptation performance while slashing memory requirements, making it a game-changer for on-device AI applications.
Robots can now navigate more efficiently in unfamiliar environments thanks to a memory graph that fuses visual, textual, and spatial information to reduce backtracking.
