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 ...

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 ...

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 ...

Power usage by AI and data center systems in the U.S. is extraordinary by any measure. The International Energy Agency ...

Neuro-symbolic AI — combining data-driven learning with rule-based reasoning — could accelerate safe, transparent use of autonomous equipment on complex jobsites.