Artificial Intelligence on Dark Matter and Dark Energy: Reverse Engineering of the Big Bang

As  we prod the cosmos at very large scales, basic tenets of physics seem  to crumble under the weight of contradicting evidence. This book helps  mitigate the crisis. It resorts to artificial intelligence (AI) for  answers and describes the outcome of this quest in terms of an  ur-universe, a quintessential compact multiply connected space that  incorporates a fifth dimension to encode space-time as a latent  manifold.

In some ways, AI is bolder than humans  because the huge corpus of knowledge, starting with the prodigious  Standard Model (SM) of particle physics, poses almost no burden to its  conjecture-framing processes. Why not feed AI with the SM enriched by  the troubling cosmological phenomenology on dark matter and dark energy  and see where AI takes us vis-à-vis reconciling the conflicting data  with the laws of physics? This is precisely the intellectual adventure  described in this book and – to the best of our knowledge – in no other  book on the shelf. As the reader will discover, many AI conjectures and  validations ultimately make a lot of sense, even if their boldness does  not feel altogether "human" yet.

This book is written  for a broad readership. Prerequisites are minimal, but a background in  college math/physics/computer science is desirable. This book does not  merely describe what is known about dark matter and dark energy but also  provides readers with intellectual tools to engage in a quest for the  deepest cosmological mystery.