Machine Learning in Adaptive Optics

This chapter explores the intersection of machine learning and adaptive optics, discussing how machine learning can enhance adaptive optics systems. The chapter covers topics such as neural networks improving reconstruction modeling, denoising images, and improving camera noise properties. It also discusses the potential advantages of using neural networks for calibration and optimizing performance in optics.