Uncover the universe’s secrets with this essential guide that provides a comprehensive exploration of how artificial intelligence is revolutionizing modern astronomical research.

Artificial intelligence (AI) is revolutionizing astronomy, enabling researchers to process vast datasets, uncover hidden patterns, and enhance observational precision like never before. This book explores this transformative synergy, bringing together insights from experts across the globe. Covering a wide spectrum of topics, including AI-driven data mining, exoplanet discovery, gravitational wave detection, and autonomous observatories, this book highlights the impact of machine learning, computer vision, and big data analytics on modern astrophysical research.

From detecting transient celestial events to refining cosmic evolution models, this volume delves into the ways AI is reshaping our understanding of the cosmos. As we enter a new era of discovery, this guide serves as both a foundational reference and a forward-looking exploration of AI’s expanding role in space science. Whether you are a student, researcher in astronomy or space science, or an AI practitioner, this book offers an invaluable resource on the frontiers of AI-driven astronomical research.

Readers will find this volume:

• Provides a balanced mix of fundamental concepts, practical applications, and future perspectives;
• Designed to be informative and approachable, combining scientific insights, high-quality images, and detailed analyses to enhance understanding;
• Explores how AI is transforming space exploration, telescope automation, and cosmic data processing, providing readers a future-focused perspective.

Audience

Academics, researchers, astronomers, astrophysicists, and industry professionals interested in the transformative power of AI for astrological applications.

Yogesh Chandra, PhD is an assistant professor of physics at the Government Post Graduate College, Bazpur, Kumaun University, India. He has published several journal articles, mentored many students, and attended a number of conferences and workshops. He specializes in astronomy, astrophysics, and atmospheric science, with a focus on AI applications in these fields.

Manjuleshwar Panda is an independent astronomy researcher in New Delhi, India, with an M.Sc. in Physics from Kumaun University, Nainital, India. He has contributed to national and international research programs and has completed two specialized courses with the Indian Space Research Organization. He has a keen interest in observational and extragalactic astronomy, high-energy astrophysics, and the role of AI in astronomy.

Mahesh Chandra Mathpal, PhD is a lecturer in physics at Govt. IC Lohali, Uttarakhand, India. He has published over ten research papers in international journals and is actively engaged in advancing AI-driven astrophysical studies. His research focuses on astrophysics and solar physics, with a specialization in applying artificial neural networks (ANN) to these fields.