Neuro-symbolic AI represents the convergence of two principal paradigms in artificial intelligence: neural networks, which are efficient in data-drive…
The State of Neuro-Symbolic AI in Late 2025: Bridging Neural and Symbolic Approaches for Smarter AI The Rise of Neuro-Symbolic AI Artificial intelligence (AI) has transformed indus...
Discover how neuro-symbolic AI blends deep learning and symbolic logic for more robust, transparent, and reliable artificial intelligence in real-world use cases.
This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relat…
Symbolic regression, a key problem in discovering physics formulas from observational data, faces persistent challenges in scalability and interpretability. We introduce PhyE2E, an...
Machines with common sense, which rely on an emerging AI technique known as neurosymbolic AI, could greatly increase the value of AI for businesses and society at large.
Learn how combining deep neural networks (or other machine-learning models) with symbolic artificial intelligence produces so-called Neurosymbolic AI, which is capable of both lear...
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