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Astronomia ex machina: a history, primer and outlook on neural networks in astronomy

In this review, we explore the historical development and future prospects of artificial intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in astronomy through its three waves, from the early use of multilayer perceptrons, to the rise of convolutional and recu...

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Detalles Bibliográficos
Autores principales: Smith, Michael J., Geach, James E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230190/
https://www.ncbi.nlm.nih.gov/pubmed/37266039
http://dx.doi.org/10.1098/rsos.221454