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Artificial Intelligence on Dark Matter and Dark Energy

Artificial Intelligence on Dark Matter and Dark Energy


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About the Book

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 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.

The book is written for a broad readership. Prerequisites are minimal but a background in college math/physics/computer science is desirable. The 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.


About the Author: Ariel Fernández is an Argentine-American physical chemist and mathematician. He obtained a Ph. D. degree in Chemical Physics from Yale University and held the Hasselmann Endowed Chair Professorship in Bioengineering at Rice University until his retirement. To date, he has published over 400 scientific papers in professional journals including PNAS, Nature, Nature Biotechnology, Physical Review Letters, Genome Research and Genome Biology. Fernández has also authored five books on biophysics and molecular medicine and holds several patents on technological innovation. Since 2018 Fernández heads the Daruma Institute for Applied Intelligence, the research arm of AF Innovation, a Consultancy based in Argentina and the USA.


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Product Details
  • ISBN-13: 9781032465548
  • Publisher: Taylor & Francis Ltd
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Sub Title: Reverse Engineering of the Big Bang
  • Width: 178 mm
  • ISBN-10: 1032465549
  • Publisher Date: 23 Aug 2023
  • Height: 254 mm
  • No of Pages: 164
  • Spine Width: 16 mm
  • Weight: 572 gr


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