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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.
List of contents
Chapter 1: The Dark Universe: Metamodel and Foundational Evidence. Chapter 2: Quintessential Extension of Space-Time Yielding Mediators between Visibile and Dark Sectors Chapter 3: Methods: Quintessential Autoencoders. Chapter 4: Dark Matter in a Quintessential Extension of the Standard Model. Chapter 5: Portal to the Dark Universe. Chapter 6: Physical Footprints of a Computer-Simulated Universe: The Artefactual Nature of the Dark Universe. Epilogue. Index.
About the author
Ariel Fernández (born Ariel Fernández Stigliano, April 8, 1957) is an Argentine-American physical chemist and mathematician. He obtained a Ph.D. in Chemical Physics from Yale University in record time and held the Karl F. Hasselmann Endowed Chair Professorship in Engineering at Rice University until his retirement. He was also an adjunct professor of computer science at the University of Chicago. To date, he has published over 500 scientific papers in professional journals and has also authored nine books on physical chemistry, molecular medicine, artificial intelligence, mathematical cosmology, and mathematical physics. Additionally, he holds several patents on technological innovation. Fernández is a member of the National Research Council of Argentina (CONICET) and, since 2018, heads the Daruma Institute for Applied Intelligence, the research arm of AF Innovation, a consultancy based in Argentina and the United States.
Summary
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.
