AI System Engineering—Key Challenges and Lessons Learned

AI System Engineering—Key Challenges and Lessons Learned

The main challenges are discussed together with the lessons learned from past and ongoing research along the development cycle of machine learning systems. This will be done by taking into account intrinsic conditions of nowadays deep learning models, data and software quality issues and human-cente...

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Bibliographic Details
Main Authors: Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobiezky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Machine Learning and Knowledge Extraction
Subjects:
AI system engineering
deep learning
embedded AI
federated learning
transfer learning
human centered AI
Online Access:https://www.mdpi.com/2504-4990/3/1/4

Internet

https://www.mdpi.com/2504-4990/3/1/4

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