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The goal of Neuro-symbolic AI is to combine the strengths of neural and symbolic methods to create AI systems that can be trained from raw data, demonstrate robustness against outliers or errors, and preserve explainability, explicit use of expert knowledge, and explicit cognitive reasoning.

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