
Artificial Intelligence on Dark Matter and Dark Energy by Ariel Fernández
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.
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AI
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AI and Law
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Behavior Trees in Robotics and AI
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Considerations on the AI Endgame
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An Introduction to Universal Artificial Intelligence
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Artificial Intelligence Safety and Security
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Introduction to Self-Driving Vehicle Technology
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De Novo Quantum Cosmology with Artificial Intelligence
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Future-Ready with Generative AI
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Federated Learning
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Energy Efficiency and Robustness of Advanced Machine Learning Architectures
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Responsible Use of AI in Military Systems
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Entanglement
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AI Use Cases for Diplomats
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Artificial Intelligence for Autonomous Networks
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Digital Minds 1.0
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AI iQ for a Human-Focused Future
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Explainable Agency in Artificial Intelligence
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The Games that Computers (and Humans) Play
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The Global Politics of Artificial Intelligence
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The Virtual Mind
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Artificial Intelligence
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A First Course in Aerial Robots and Drones
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AI by Design
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Intelligent Autonomy of UAVs
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Designing Interactions with Robots
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AI in and for Africa
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A Robotic Framework for the Mobile Manipulator
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Just War Theory and Artificial Intelligence
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Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
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The Naked Android
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Digital Afterlife
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Unity in Embedded System Design and Robotics
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Transcending Imagination
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Human-Centered AI
Ariel Fernández, PhD, (born Ariel Fernández Stigliano) is an Argentine-American physical chemist and mathematician. He earned a PhD in chemical physics at Yale University in record time and held the Hasselmann Endowed Chair Professorship in Bioengineering at Rice University until his retirement. To date, he has published approximately 500 scientific papers in professional journals, including PNAS, Nature, Nature Biotechnology, Physical Review Letters, Genome Research, and Genome Biology. Dr. Fernández has also authored seven books on biophysics, molecular medicine, AI, and mathematical physics, and holds several patents on technological innovation. Since 2018, Dr. Fernández has headed the Daruma Institute for Applied Intelligence, the research arm of AF Innovation, a consultancy currently based in Argentina and the United States.
| SKU | Unavailable |
| ISBN 13 | 9781032474045 |
| ISBN 10 | 1032474041 |
| Title | Artificial Intelligence on Dark Matter and Dark Energy |
| Author | Ariel Fernández |
| Series | Chapman And Hall Crc Artificial Intelligence And Robotics Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2025-05-27 |
| Number of pages | 158 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































