Rebuscando a E.T. en los datos de los archivos del Instituto SETI

IBM supports the SETI Institute by applying advanced analytics to a vast archive of more than a decade’s worth of historical radio signals. This shift enables researchers to analyze previously overlooked data using high-performance computing, allowing for broader searches across wide frequency bands and longer time scales. The new system processes massive datasets that were too large for real-time analysis, uncovering potential anomalies hidden within the noise. This initiative is highly relevant to open data, as it demonstrates how open-source analytics tools can unlock the scientific value of large, underutilized public datasets. By making complex queries accessible through user-friendly interfaces, it lowers technical barriers for researchers. This approach validates the open data principle that archival information, when processed with modern collaborative technologies, becomes a powerful resource for discovery rather than remaining static digital waste.

Source: microsiervos.com
Published on 2023-05-27

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