In this contributed article, editorial consultant Jelani Harper points out that those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Even as many enterprises are just starting to dip their toes into the AI ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...

COMPARISON OF FUNCTIONS DISCOVERED BY SYMBOLIC REGRESSION, AND FUNCTIONS DISCOVERED BY SYMBOLIC MODELING. GA, UNITED STATES, March 21, 2025 /EINPresswire / -- Researchers develop Symbolic Modeling -an ...