A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge

The paper introduces "Wenlu," a multimodal cognition and embodied decision-making system that securely integrates private knowledge, public models, and multimodal data to support enterprise decision-making, medical analysis, autonomous driving, and robotic control. It features a brain-inspired memory mechanism, end-to-end hardware code generation, and self-learning capabilities, offering significant advantages in multimodal processing, privacy security, and sustainable updates for next-generation intelligent systems.