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 ...

Capturing data signals during embedded system design can prove challenging. Modern logic analyzers make data acquisition tasks easier by providing advanced triggering capabilities that get to the root ...

The quest for better throughput, faster changeover times, and less waste and downtimes has made machine-automation systems more complicated. Besides handling logic or process controls, systems today ...