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Machine learning for self-tuning optical systems

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Abstract

We demonstrate that emerging innovations in machine learning and adaptive control provides an ideal integration platform for self-tuning optics. We show they can achieve self-tuning and near-optimal performance in mode-locked lasers.

© 2019 The Author(s)

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