ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications with only a few lines of self-explanatory code. As a result, ML-based AI...
Main Authors: | Dimitrios E. Diamantis, Dimitris K. Iakovidis |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9389709/ |
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