All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...

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 ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

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Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I ...

Machine vision is transforming with advances in AI, deep learning, and 3D imaging, boosting inspection and accessibility. Tasks once needing expert programming are now handled by AI-powered systems.

In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense ...

Algorithms were applied to the data set to replicate a potential machine-learning approach to optimizing infusion pump programming safety.