The use of machine learning techniques in the analysis of the data produced by gravitational wave detectors is a very active field of research, with many promising results. In this talk however, I will discuss how machine learning could also be applied to the instrument science side of gravitational wave detectors, to improve the sensitivity with noise subtraction or to improve the detector robustness with advanced control systems. This is a less mature field of research, and results are only recently starting to appear.
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