Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging

Addressing the astronomical challenges posed by the interplay of data volume, AI sophistication, and energy consumption is crucial for the future of astronomy. As astronomical surveys continue to produce vast amounts of data, the computational and energy demands for galaxy classification have escala...

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Bibliographic Details
Main Authors: Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Universe
Subjects:
Online Access:https://www.mdpi.com/2218-1997/11/2/73
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