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Machine Learning Supports Existence of Previously Unrecognized Transient Astronomical Phenomena in Historical Observatory Images
machine-learningastronomical-phenomenacomputer-visionhistorical-data-analysis
Research

ML supports existence of unrecognized transient astronomical phenomena

Machine learning techniques have identified previously unrecognized transient astronomical phenomena in historical observatory images. These phenomena consist of transient, star-like point sources that appeared and disappeared over short timescales before the launch of Sputnik.

arxiv.org

🔥🔥🔥🔥🔥

2 min

14h ago

ML supports existence of unrecognized transient astronomical phenomena

Machine learning techniques have identified previously unrecognized transient astronomical phenomena in historical observatory images. These phenomena consist of transient, star-like point sources that appeared and disappeared over short timescales before the launch of Sputnik.

arxiv.org

🔥🔥🔥🔥🔥

2 min

14h ago

ML supports existence of unrecognized transient astronomical phenomena

Machine learning techniques have identified previously unrecognized transient astronomical phenomena in historical observatory images. These phenomena consist of transient, star-like point sources that appeared and disappeared over short timescales before the launch of Sputnik.

arxiv.org

🔥🔥🔥🔥🔥

2 min

14h ago

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