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 ...

The ever-growing use of technology in society makes it clear that computer programming may be a valuable skill. But how do our brains learn to code? Cultural skills, like reading and math, typically ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Successful PLC programming involves the implementation of image comparison algorithms, pattern recognition techniques and barcode or QR-code readers to enhance the accuracy of inspections. Jan. 31, ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...