This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics. 

Presents new developments, advancements, and selected topics in the fields of artificial intelligence and related algorithms in the astrophysical data processing Discusses new ideas and interdisciplinary insight on the mutual intersection of subareas of artificial intelligence and computation and its impact and limits to many astrophysical problems Focuses on all aspects of reality-based computation approaches from an interdisciplinary point of view in all important areas of astrophysics as the signal processing in the radio astronomy, image processing with machine learning, deep learning applications on various astrophysical tasks, evolutionary computation in classification and modeling of astrophysical events, archive processing and anomaly detection in live streams from robotic telescopes and more

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