Artificial Intelligence on Dark Matter and Dark Energy 1st Edition
Gripping from the first page, Artificial Intelligence on Dark Matter and Dark Energy (1st Edition) by Ariel Fernández brings a fresh, authoritative voice to one of cosmology’s greatest mysteries. This compelling title marries cutting-edge artificial intelligence techniques with the big-picture questions of dark matter and dark energy, making it essential reading for anyone following modern astrophysics or data-driven science.
Fernández guides readers through how machine learning, neural networks, and statistical modeling are reshaping our ability to detect, model, and interpret the unseen forces that govern cosmic structure. Clear explanations and thoughtful examples illuminate complex concepts without sacrificing rigor, delivering an accessible yet scholarly resource for graduate students, researchers, and data scientists branching into astrophysics.
What sets this 1st Edition apart is its practical emphasis: it translates abstract theory into investigative strategies that can be applied to real observational challenges. Readers will appreciate structured chapters that progress from foundational principles to advanced analytical frameworks, offering actionable insight for academic study, research projects, and interdisciplinary collaboration.
Ideal for international audiences—from North America and Europe to Asia and beyond—this book is optimized for global academic and professional contexts. Whether you’re an astronomer curious about AI applications, a physicist exploring dark-sector models, or a machine learning practitioner seeking new domains, Fernández’s volume equips you with the language, methods, and perspective to engage confidently with frontier problems.
Expand your library with a forward-looking work that bridges two transformative fields. Order your copy today and join the conversation at the intersection of artificial intelligence and cosmology.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


