Indonesian and Western gamelan ensembles are investigated with respect to performance differences. Thereby, the often exotistic history of this music in the West might be reflected in contemporary tonal system, articulation, or large-scale form differences. Analyzing recordings of four Western and five Indonesian orchestras with respect to tonal systems and timbre features and using self-organizing Kohonen map (SOM) as a machine learning algorithm, a clear clustering between Indonesian and Western ensembles appears using certain psychoacoustic features. These point to a reduced articulation and large-scale form variability of Western ensembles compared to Indonesian ones. The SOM also clusters the ensembles with respect to their tonal systems, but no clusters between Indonesian and Western ensembles can be found in this respect. Therefore, a clear analogy between lower articulatory variability and large-scale form variation and a more exostistic, mediative and calm performance expectation and reception of gamelan in the West therefore appears.

Edward Tian didn't think of himself as a writer. As a computer science major at Princeton, he'd taken a couple of journalism classes, where he learned the basics of reporting, and his sunny affect and tinkerer's curiosity endeared him to his teachers and classmates. But he describes his writing style at the time as "pretty bad"--formulaic and clunky. One of his journalism professors said that Tian was good at "pattern recognition," which was helpful when producing news copy. So Tian was surprised when, sophomore year, he managed to secure a spot in John McPhee's exclusive non-fiction writing seminar.

Many Australian enterprises have spent years trying to justify their investments in data analytics models. On average, only half of the analytic models built by organisations will ever make it to production. Clearly, organisations that operationalise and monetise their artificial intelligence (AI) and analytics capabilities are more likely to succeed with their customer engagements. Tech execs gathered at a virtual roundtable recently to discuss the challenges they face when moving their AI and data analytics programs from an experiment inside their business to one that is a key part of their core operations. The conversation was sponsored by SAS.