Neuro-Symbolic AI

Neuro-symbolic AI is an emerging approach that combines the learning capabilities of neural networks with the logical reasoning strengths of symbolic artificial intelligence (AI). Neural components excel at pattern recognition from unstructured data (like images or text), while symbolic systems use rules and logic to perform structured, interpretable reasoning. By integrating both paradigms, neuro-symbolic AI enables more robust, explainable and generalizable intelligence – allowing systems to learn from data while reasoning over knowledge representations. This hybrid approach is gaining traction in areas such as natural language understanding, robotics, and decision support, where both learning and logic are essential.