Neurosymbolic AI

Neurosymbolic AI (NSAI) integrates the strengths of neural networks and symbolic reasoning to build more robust, explainable, and reliable AI systems. Current research focuses on enhancing large language models (LLMs) with symbolic knowledge for improved accuracy and interpretability, developing efficient algorithms for learning probabilistic logical models, and applying NSAI to diverse fields like cybersecurity and robotics. This hybrid approach addresses limitations of purely neural or symbolic methods, offering significant potential for advancing AI trustworthiness and expanding its applicability in complex, real-world scenarios.