Using a powerful AI tool, astronomers have combed through vast troves of data from NASA's Hubble and found over 1,300 cosmic ...
The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...
A new Scripps Research machine-learning system tracks how epidemic viruses evolve. This technology could have predicted the emergence of SARS-CoV-2 “variants of concern” (VOCs) ahead of their official ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...
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