Asynchronous parallel Bayesian optimization for AI-driven cloud laboratories

MOTIVATION: The recent emergence of cloud laboratories—collections of automated wet-lab instruments that are accessed remotely, presents new opportunities to apply Artificial Intelligence and Machine Learning in scientific research. Among these is the challenge of automating the process of optimizin...

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Detalles Bibliográficos
Autores principales: Frisby, Trevor S, Gong, Zhiyun, Langmead, Christopher James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
General Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275326/
https://www.ncbi.nlm.nih.gov/pubmed/34252975
http://dx.doi.org/10.1093/bioinformatics/btab291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275326/
https://www.ncbi.nlm.nih.gov/pubmed/34252975
http://dx.doi.org/10.1093/bioinformatics/btab291

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