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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
A galaxy made almost entirely of dark matter, an elusive form of matter that doesn’t interact with light, was spotted by ...
"Highway of Diamonds" showcases decades of Black artists reshaping and sometimes radically reframing Dylan's work ...
Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...
Aggregating ‘negative’ immunotherapy trials can uncover reproducible immune perturbations that are missed in single studies, reframing lack of clinical benefit as potentially informative biologic ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes ...
The gut microbiome research field has rapidly evolved, driven by new insights into the profound ways in which gut microbes affect metabolism, immune ...
Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...
Astronomers have spotted a galaxy so faint, it’s almost invisible — a discovery that could help illuminate one of the most ...
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