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UniK: Universal Knowledge Perception for Digital and Physical AI

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Two transformative classes of AI systems are reshaping how organizations operate: \textit{digital AI}, which reasons over enterprise knowledge to power chatbots and agent workflows; and \textit{physical AI}, which learns to control robots and autonomous systems from video, gameplay, and sensor telemetry. Both face the same foundational bottleneck: raw knowledge at scale, spanning heterogeneous modalities, locked in private corpora that existing AI infrastructure cannot access reliably or efficiently. We propose \textit{Universal Knowledge Perception (UniK)} as a common platform for both classe

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Evidence & attribution

First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.