An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy

BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be hosted on such an infrastructure to enable faster...

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Detalles Bibliográficos
Autores principales: Kumar, Anup, Cuccuru, Gianmauro, Grüning, Björn, Backofen, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132306/
https://www.ncbi.nlm.nih.gov/pubmed/37099385
http://dx.doi.org/10.1093/gigascience/giad028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132306/
https://www.ncbi.nlm.nih.gov/pubmed/37099385
http://dx.doi.org/10.1093/gigascience/giad028

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