On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Artificial Intelligence may possibly be the single most misunderstood concept in contemporary data management. Most organizations are unclear about the relationship of AI to machine learning (they’re ...

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 ...

SingularityNET unveils Hyperon AGI platform and PRIMUS architecture combining symbolic reasoning and neural learning to guide ...

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 ...

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 ...

COBOL Colleague uses symbolic machine learning and static analysis to help developers understand and maintain COBOL source code. The same technology could be applied to other programming languages.