Technology readiness levels for machine learning systems
The development of machine learning systems has to ensure their robustness and reliability. The authors introduce a framework that defines a principled process of machine learning system formation, from research to production, for various domains and data scenarios.
Main Authors: | Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atílím Güneş Baydin, Amit Sharma, Adam Gibson, Stephan Zheng, Eric P. Xing, Chris Mattmann, James Parr, Yarin Gal |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-33128-9 |
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