3rd International Conference on Neuro-Symbolic Systems

The 3rd International Conference on Neuro-Symbolic Systems brings together researchers working to combine the complementary strengths of neural learning and symbolic reasoning into unified AI architectures. Pure neural systems excel at perception and pattern recognition but struggle with systematic generalization; symbolic systems handle logic and compositionality but lack robustness to noise—neuro-symbolic integration aims to overcome both limitations.

The conference covers neuro-symbolic program synthesis, knowledge graph embedding, differentiable reasoning, neural theorem proving, and applications in robotics, natural language understanding, and scientific discovery. Researchers in deep learning, knowledge representation, cognitive AI, and formal methods will find the program central to their work. The 3rd edition builds on a growing community consensus that robust, trustworthy AI will require moving beyond purely statistical approaches toward systems that can represent and manipulate structured knowledge.