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Neuro-Symbolic AI
Neuro-symbolic AI is a form of composite AI that combines machine learning methods and symbolic systems (for example, knowledge graphs) to create more robust and trustworthy AI models. This combination allows statistical patterns to be combined with explicitly defined rules and knowledge to give AI systems the ability to better represent, reason and generalize concepts. This approach provides a reasoning infrastructure for solving a wider range of business problems more effectively.
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