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New bio-inspired AI architecture designed for resource-constrained robots and wearables addresses physical AI's latency and energy challenges
arXiv cs.AI · April 16, 2026
AI Summary
- •Artificial Tripartite Intelligence (ATI) proposes a three-level hierarchical system mimicking the brain: Brainstem for safety reflexes, Cerebellum for sensor calibration, and Cerebral Inference Subsystem for reasoning
- •Sensor-first approach prioritizes controllable, adaptive sensing in dynamic environments rather than scaling model size, addressing limitations of deploying large models on edge devices
- •Architecture enables closed-loop integration of sensor control, edge-cloud execution, and foundation model reasoning while meeting strict latency, energy, privacy, and reliability constraints for physical AI applications
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