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interpretable ML for optical communications

Optical communications and everything about it
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Advancing our understanding of optical communications through Machine Learning

By Alan Pak Tao Lau in interpretable ML for optical communications on 28 Aug 2020

Machine Learning (ML) is typically seen as a “black-box” approach to an otherwise intractable problem that you can't analytically model nor obtain mathematical insights. In our recent paper [https://www.nature.com/articles/s41467-020-17516-7], we show that instead of this black-box alternative pathway…

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