Neuro Symbolic Artificial Intelligence

Neuro-symbolic artificial intelligence (NSAI) aims to combine the strengths of neural networks (deep learning) and symbolic reasoning (logic and knowledge representation) to create more robust, explainable, and efficient AI systems. Current research focuses on integrating knowledge graphs with neural networks, leveraging large language models for knowledge representation and reasoning, and developing hardware architectures optimized for neuro-symbolic computations. This approach holds significant promise for improving AI's trustworthiness and applicability in complex domains like cybersecurity, climate modeling, and military applications, where interpretability and reliable decision-making are crucial.