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CCNets introduces 'Causal Learning,' a brand-new machine learning framework that integrates the strengths of supervised and generative learning. Developed during the deep learning boom, this framework reimagines existing machine learning methods—supervised, unsupervised, and reinforcement learning—using causal graphs. We provide the essential algorithms and supporting examples below. For implementation details, business opportunities, or advanced research collaborations, please contact us. Patents: 1. Causal Learning- Granted in KR: KR102656365B1 https://patents.google.com/patent/KR102656365B1/en - U.S. Patent Application: US20250181912A1 https://patents.google.com/patent/US20250181912A1/en 2. Causal Reinforcement Learning- https://patents.google.com/patent/WO2023167576A2/en

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