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Neuro-symbolic AI could slash energy use while dramatically improving performance

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

Inductive Logic Programming and Machine Learning

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 ...
EurekAlert!

Generating asset pricing model via symbolic modeling—a machine learning-based approach

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 ...
Frontiers

Soft Computing and Machine Learning Applications for Healthcare Systems

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...