The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95% of all matter and energetic equivalent in the Universe. The enormous surplus brings up daunting enigmas, such as the cosmological constant problem, and so coming to grips with the invisible Universe has become a scientific imperative.

This book addresses this need, reckoning that no cogent physical model of the dark universe can be implemented without first addressing the metaphysical hurdles along the way. The foremost problem is identifying the topology of the universe which, as argued in the book, is highly relevant to identifying secrets of the dark universe.

Artificial Intelligence (AI) is a valuable tool in this effort since it can reconcile conflicting data from deep space with the extant laws of physics by building models to decipher the dark universe. This book explores the applications of AI and how it can be used to embark on a metaphysical quest to identify the topology of the universe as a prerequisite to implementing a physical model of the dark universe.

The book is intended for a broad readership, but a background in college-level physics and computer science is essential. The book will be a valuable guide for graduate students as well as researchers in physics, astrophysics and computer science focusing on the applications of artificial intelligence in unravelling the nature of the dark universe.

Key Features:

- Provides readers with an intellectual toolbox to understand physical arguments on dark matter and energy

- Up-to-date with the latest, cutting edge research

- Authored by an expert on artificial intelligence and mathematical physics

Ariel Fern