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The Growing Cost of Deep Learning for Source Code: Attempting to mitigate problems associated with the trend toward massive dataset scaling.

The article opines on attempts to mitigate the problems engendered by massive dataset scaling with a focus on the costs of deep learning for source code. Costs associated with training artificial intelligences and artificial neural networks on a given computer model are identified. The author calls...

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Publicado en:Communications of the ACM Vol. 65; no. 1; pp. 31 - 34
Autores principales: Hellendoorn, Vincent J., Sawant, Anand Ashok
Formato: Artículo
Publicado: Association for Computing Machinery Jan2022
Materias:
Source code
Deep learning
Artificial intelligence
Computer simulation
Computer workstation clusters
Big data
Acceso en línea:Ver este registro en EBSCOhost