To continue reading this content, please enable JavaScript in your browser settings and refresh this page. "Leadership" is a powerful word. We feel it when we are in ...

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 ...

The goal of this topics course is to study the foundations of different types of logics used commonly in artificial intelligence. Logic forms the basis for many types of reasoning used by humans – ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

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 ...