如果说"大模型"让机器人学会了说话，那么 "泛化能力"（Generalization） 则是决定机器人能否走出实验室、真正进入千家万户的关键门 槛。 但在当下， 为什么机器人在训练场景里表现完美，一旦换个房间、换个光照、或者换个颜色的杯子，就会突然 " 智障 " ？ 根本原因在于， 传统的AI往往只学会了表面的相关性（Correlation），而没有掌握事物背后的因果性（Causality） 。 近日， 全球顶级人工智能会议AAAI 2026正式收录了原力无限与香港大学、澳门大学、武汉大学等联合完成的重磅研究 《 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning 》 。 该研究由原力无限科研团队深度参与，与顶尖高校学者共同攻坚， 首次提出了一种基于因果图（Causal Graph）的结构感知代理框架 （DSAP） 。 这标志着原力无限成功将因果推理技术引入具身智能大脑，为解决困扰行业的"分布外泛化"（OOD）难题提供了全新的理论支撑。 行业痛点 机器人为什么不懂"举一反三"？ 01 如果你把桌子换成蓝色，AI可能 ...

Core Insights - The Baize™ system by Shanghai Quzhi Network Technology is revolutionizing intelligent marketing for enterprises through innovative technology architecture in the context of rapid digital economy growth [1] Technology Architecture: Next-Generation Intelligent Engine - The Baize™ system utilizes a Cognitive Computing framework and Neuro-symbolic AI technology, enhancing marketing decision accuracy through Causal Inference algorithms [2] - The system achieves a 98.3% accuracy rate in semantic understanding for specific industry scenarios using Contextual Embeddings and Domain Adaptation methods [2] - A legal tech platform experienced a 4.2 times increase in contract review efficiency and a 72% reduction in manual review workload after implementing the system [2] Data Insights: Intelligent Analysis and Prediction - The system features a Unified Data Fabric and employs Graph Analytics to uncover complex user relationship networks [3] - Temporal Modeling captures dynamic user behavior changes, leading to a 91.5% accuracy in user churn prediction for an online education platform [3] - The Online Learning mechanism allows real-time model optimization, resulting in a 2.8 times increase in content recommendation relevance and an additional 47 minutes of daily user engagement on a social platform [3] Marketing Innovation: Full-Link Intelligence - The Baize™ system creates a Composable Customer Experience platform, enabling seamless cross-touchpoint experiences through Journey Orchestration [5] - Predictive Engagement identifies user needs proactively, offering personalized services [5] - A fashion brand reported a 5.3 times increase in advertising creative output efficiency and a 68% reduction in creative testing cycles after utilizing the system [5] Practical Outcomes: Measurable Business Growth - A multinational manufacturing company saw a 4.8 times increase in sales lead conversion rates and a 42% reduction in sales cycles after deploying the system [5] - The global marketing director of the company noted a shift from passive response to proactive insight due to the Baize™ system [5] Healthcare Sector Impact - A digital healthcare platform improved user health need identification accuracy by 3.6 times and achieved a 94.2% user satisfaction rate through the system's Behavioral Segmentation feature [6] Technical Assurance: Trustworthy AI System - The system is certified under ISO 42001 for AI management and employs Adversarial Training to enhance model robustness [8] - A Privacy by Design approach and Synthetic Data Generation technology expanded model training data volume by 3.5 times for a financial institution while ensuring compliance [8] Future Evolution: Continuous Innovation Path - Shanghai Quzhi Network Technology is advancing research in Neuromorphic Computing and Quantum Machine Learning to prepare for complex marketing scenarios [9] - The Baize™ system aims to become the core engine for enterprise digital transformation, focusing on creating a more intelligent, adaptive, and trustworthy marketing technology platform [9]