The goal of the Patterns and Anomalies pattern of AI is to use machine learning and other cognitive approaches to learn patterns in the data and discover higher order connections between that data ...

Use the Nature Index to interrogate publication patterns and to benchmark research performance. ... Machine-learning-based particle identification with missing data ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

AI programs do, indeed, result in patterns, but, just as "The fault, dear Brutus, lies not in our stars but in ourselves," the fact of those patterns is not something in the data, it is what the ...

Machine learning is one tool researchers have started using for microplastic identification. First, researchers collect a large dataset of spectra whose identities are known.