Instructions in a program arranged in a prescribed order to solve a problem. Give a requirement to several programmers, each is likely to create different program logic. As long as the program works, ...

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 ...

Picat is a new logic-based programming language. In many ways, Picat is similar to Prolog, especially B-Prolog, but it has functions in addition to predicates, pattern-matching instead of unification ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

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 ...

Since 1972, scientists have known there are four basic circuit components, but if you’ve spent any time in an electrical engineering classroom, you probably only have experience with three: capacitor, ...

Logic models are a visual representation of your program. They display the resources available for your program, the short and long-term goals for your trainees and the activities that you have ...

REDWOOD CITY, CA--(Marketwired - Aug 1, 2017) - Sumo Logic, the leading cloud-native, machine data analytics platform delivering continuous intelligence, today announced the launch of the Sumo Logic ...

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