Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…

As we move further into the digital age, the acquisition of digital literacy (DL) and computational thinking (CT) skills is emerging internationally as an essential goal for students in contemporary school curricula. As the world becomes more uncertain and volatile due to impacts of artificial intelligence (AI), international unrest, climate…

Presents a case study that calculates the reduction of the time needed for a Web page to be fully downloaded and delivered to the user. Topics include bandwidth; HTTP; data transfer; algorithms for compression and decompression of Web pages; and reducing the size of hypertext data. (Author/LRW)

Describes the history and development of the algorithm that was used to produce a union list of monographs for ALEPH (Automated Library Expandable Program Hebrew University), Israel's research library network. The literature on merging online records is reviewed, case studies are examined, and problems with matching and merging online…