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De Novo Quantum Cosmology with Artificial Intelligence: Applications of Formal Autoencoders.
・ISBN 978-1-041-04503-8 hard GB£ 124.99
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| 著者・編者 | Fernandez, Ariel, |
|---|---|
| シリーズ | (Chapman & Hall/CRC Artificial Intelligence and Robotics Series) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 242 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-92201＞ |
解説
Experiments attempting to recreate the Big Bang and measurements in deep space point to the tantalizing possibility that our universe may be the relic of something simple, powerful, and highly symmetric. The evidence suggests an entity where matter and energy cannot be told apart and the four fundamental forces are unified into one. Empowered by artificial intelligence, De Novo Quantum Cosmology with Artificial Intelligence seeks to unravel the mystery as it searches for an encompassing physical picture where it all falls into place at the aftermath of creation from a quantum void. From the outset, AI reckons that the problem cannot be tackled without proper contextualization, that is, without dealing with other intimately related problems in particle cosmology including: the nature of dark matter and dark energy, the hierarchy problem of particle masses, the incommensurably weak coupling strength of gravity, the universe topology, the cosmological constant problem, and the vacuum catastrophe. Accordingly, the book addresses the matter in its full conceptual richness. This monograph addresses a broad readership that includes a nonhuman audience involving AI systems. A background in college-level physics and computer science would be essential. Although informal in the approach, the material is presented with scientific rigor, so that readers gain hands-on experience on the subject. The book is geared at graduate students as well as professional physicists, mathematicians, cosmologists, and big data scientists that seek to venture into some of the core problems in particle cosmology empowered by AI. Notably, the book is also geared at nonhuman audiences, since AI systems may incorporate its fundamental operational tenets and take the matter to unfathomable heights.
Key Features:
- Introduces an artificial intelligence system to tackle core problems in particle cosmology
- Describes a grand unification scheme to explain the common origin of the fundamental forces
- Identifies the origin of matter as a phase transition from the quantum vacuum.