Computers can be used to help solve problems. However, before a problem can be tackled, it must first be understood. Computational thinking helps us to solve problems. Designing, creating and refining ...

Rewriting logic is a versatile and expressive framework that unifies the specification of concurrent systems with formal reasoning about their behaviour. It allows researchers and practitioners to ...

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 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 ...

Hi guys, I've followed arstechnica for a while but only decided to join the forums today. The reason I joined because I wanted to share something with you and I hope you enjoy it. As fellow gamers I'm ...

Quantum logic: Dolev Bluvstein (left) and Mikhail Lukin with their quantum processor. (Courtesy: Jon Chase/Harvard University) A quantum processor with 48 logical qubits that can execute algorithms ...

The ultimate goal of every software product is to convert inputs(provided by end-users or automatically received from external systems) into valuable outputs ...