ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning

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...

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Bibliographic Details
Main Authors: Dimitrios E. Diamantis, Dimitris K. Iakovidis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
parallel processing
distributed computing
machine vision
medical services
Online Access:https://ieeexplore.ieee.org/document/9389709/

Internet

https://ieeexplore.ieee.org/document/9389709/

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