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Perspective paper: Can machine learning become a universal method of laser photonics?
Optical Fiber Technology ( IF 2.6 ) Pub Date : 2021-06-30 , DOI: 10.1016/j.yofte.2021.102626 Sergey M. Kobtsev
中文翻译:
透视论文:机器学习能否成为激光光子学的通用方法?
更新日期:2021-06-30
Optical Fiber Technology ( IF 2.6 ) Pub Date : 2021-06-30 , DOI: 10.1016/j.yofte.2021.102626 Sergey M. Kobtsev
Machine learning methods are being successfully applied in various domains of human activity, including optics. Can they become a universal instrument capable of improving user aspect of photonic devices? Is their application a necessary element of such improvement? Answers to fundamental questions arising from application of machine learning methods in ultrashort-pulsed lasers are discussed. Future prospects and current fundamental limitations of such methods are analysed.
中文翻译:
透视论文:机器学习能否成为激光光子学的通用方法?
机器学习方法正在成功应用于人类活动的各个领域,包括光学。它们能否成为能够改善光子设备用户方面的通用工具?它们的应用是这种改进的必要元素吗?讨论了机器学习方法在超短脉冲激光器中的应用所产生的基本问题的答案。分析了这些方法的未来前景和当前的基本局限性。