Lessons from Resource-Aware Machine Learning for Healthcare: An Interview with Katharina Morik
Katharina Morik is one of the leading experts in Germany on artificial intelligence (AI). Her work culminated in the collaborative research center (CRC) 876, a long-term and large-scale research program funded by the German Research Foundation (DFG), on resource-aware machine learning including applications in healthcare. This interview looks at her experiences with combining machine learning and healthcare applications and the lessons she came away with. Please refer to the end of this interview for a short bio.
- Published in:
KI - Künstliche Intelligenz - Type:
Article - Authors:
Braun, Tanya; Möller, Ralf - Year:
2024 - Source:
https://link.springer.com/article/10.1007/s13218-024-00839-8
Citation information
Braun, Tanya; Möller, Ralf: Lessons from Resource-Aware Machine Learning for Healthcare: An Interview with Katharina Morik, KI - Künstliche Intelligenz, 2024, 38, 243--248, March, https://link.springer.com/article/10.1007/s13218-024-00839-8, Braun.Moeller.2024a,
@Article{Braun.Moeller.2024a,
author={Braun, Tanya; Möller, Ralf},
title={Lessons from Resource-Aware Machine Learning for Healthcare: An Interview with Katharina Morik},
journal={KI - Künstliche Intelligenz},
volume={38},
pages={243--248},
month={March},
url={https://link.springer.com/article/10.1007/s13218-024-00839-8},
year={2024},
abstract={Katharina Morik is one of the leading experts in Germany on artificial intelligence (AI). Her work culminated in the collaborative research center (CRC) 876, a long-term and large-scale research program funded by the German Research Foundation (DFG), on resource-aware machine learning including applications in healthcare. This interview looks at her experiences with combining machine learning and...}}
