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.
Bibliographic Details
| 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 |
|---|
| Format: | Article
|
|---|
| Language: | English |
|---|
| Published: |
Nature Portfolio
2022-10-01
|
|---|
| Series: | Nature Communications
|
|---|
| Online Access: | https://doi.org/10.1038/s41467-022-33128-9
|
|---|