| |  Online-Ressource |
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| Verfasst von: | Fernández, Ariel [VerfasserIn]  |
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| Titel: | Artificial Intelligence models for the dark universe |
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| Titelzusatz: | forays in mathematical cosmology |
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| Verf.angabe: | Ariel Fernández |
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| Ausgabe: | First edition |
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| Verlagsort: | Boca Raton ; London ; New York |
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| Verlag: | CRC Press |
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| Jahr: | 2025 |
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| Umfang: | 1 Online-Ressource (xi, 227 Seiten) |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Description based on publisher supplied metadata and other sources |
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| ISBN: | 978-1-04-010094-3 |
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| | 978-1-003-50153-4 |
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| Abstract: | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Introduction -- Chapter 1: The Dark Universe: Metamodel and Foundational Evidence -- 1.1 Introduction -- 1.2 Metamodel of the Dark Universe -- 1.3 The Dark Universe: A Naïve Perspective -- 1.4 Leveraging AI to Explore the Dark Universe -- 1.5 Dark Matter in Deep Space -- 1.6 Gravitational Lensing by Dark Matter -- 1.6.1 Gravity Deviates Light: The Power of Thought Experiments -- 1.6.2 Gravitational Lensing as a Dark Matter Detector -- 1.7 Validity of the Dark Matter Hypothesis -- 1.8 The Hubble Constant in the Newtonian and Relativistic Universe -- 1.9 The Expanding Universe Revisited -- 1.10 Autocatalytic Universe in Runaway Mode -- 1.11 The Universe Runaway Fueled by Dark Energy -- 1.12 Quantum Vacuum Fluctuations Fuel a Runaway Universe -- 1.13 Dark Physics on Extra Dimensions -- 1.14 The Dirac Equation: A First Glimpse at Vacuum Energy -- 1.15 Navigating the Dirac Sea Toward Dark Energy -- References -- Chapter 2: Quintessential Extension of Space-Time Yielding Mediators between Visible and Dark Sectors -- 2.1 Dark Matter Storage Requires an Extra Dimension -- 2.2 Topology Steers the Incorporation of an Extra Dimension -- 2.3 Elementary Particles as Excitations of Quantum Fields -- 2.4 Big Bang Scenario in a Relativistic Universe: A Russell-Type Paradox -- 2.5 The 4-Torus Topological Model of the Universe Admits a Compact Extra Dimension -- 2.6 Topological Metamodel of the Universe in the AI Quest for Dark Matter -- 2.7 Amalgamated Higgs Boson as Dark-Matter Portal -- References -- Chapter 3: Methods: Quintessential Autoencoders -- 3.1 Primer on Neural Networks for Model and Metamodel Discovery -- 3.2 Neural Networks as Dynamical Systems -- 3.3 Deep Learning and Convolutional Neural Networks for Feature Extraction. |
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| | "The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95% of all matter and energetic equivalent in the Universe. The enormous surplus brings up daunting enigmas, such as the cosmological constant problem, and so coming to grips with the invisible Universe has become a scientific imperative. This book addresses this need, reckoning that no cogent physical model of the dark universe can be implemented without first addressing the metaphysical hurdles along the way. The foremost problem is identifying the topology of the universe which, as argued in the book, is highly relevant to identifying secrets of the dark universe. Artificial Intelligence (AI) is a valuable tool in this effort since it can reconcile conflicting data from deep space with the extant laws of physics by building models to decipher the dark universe. 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. The book is intended for a broad readership, but a background in college-level physics and computer science is essential. The book will be a valuable guide for graduate students as well as researchers in physics, astrophysics and computer science focusing on the applications of artificial intelligence in unravelling the nature of the dark universe"-- |
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| URL: | Aggregator: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=31508203 |
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| Schlagwörter: | (s)Dunkle Materie / (s)Dunkle Energie / (s)Künstliche Intelligenz |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Fernández, Ariel, 1957 - : Artificial intelligence models for the dark universe. - First edition. - Boca Raton : CRC Press, 2025. - xi, 227 Seiten |
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| Sach-SW: | Artificial intelligence |
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| | Astrophysics |
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| | Astrophysik |
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| | Automatic control engineering |
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| | COMPUTERS / Artificial Intelligence |
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| | Condensed matter physics (liquid state & solid state physics) |
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| | Künstliche Intelligenz |
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| | Particle & high-energy physics |
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| | Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik) |
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| | Regelungstechnik |
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| | SCI103000 |
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| | SCIENCE / Astrophysics & Space Science |
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| | SCIENCE / Solid State Physics |
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| | TECHNOLOGY & ENGINEERING / Automation |
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| | Teilchen- und Hochenergiephysik |
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| K10plus-PPN: | 1895410355 |
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| Lokale URL UB: |  Zum Volltext |
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Artificial Intelligence models for the dark universe / Fernández, Ariel [VerfasserIn]; 2025 (Online-Ressource)
