Springer Machine Learning for Astrophysics Proceedings Vol 60

Expand your scientific knowledge with Machine Learning for Astrophysics, the official proceedings from the ML4Astro International Conference held from 30 May to 1 June 2022. Published by Springer as part of the Astrophysics and Space Science Proceedings series (Volume 60), this book captures the latest developments at the intersection of computer science and space research. This volume serves as a specialized resource for researchers and students interested in how AI and machine learning techniques are applied to astrophysical data. By documenting the discussions and presentations from the 2022 conference, it provides a formal record of the methodologies and computational approaches currently shaping the field. Whether you are studying computer science or deep space observation, this collection offers a structured look at how automated learning models assist in solving complex astronomical problems. This academic text is an essential addition to any professional library focused on computing, internet technologies, and advanced machine learning applications in the physical sciences.