Artificial Intelligence Models For The Dark Universe
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Artificial Intelligence Models For The Dark Universe
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Author : Ariel Fernández
language : en
Publisher: CRC Press
Release Date : 2024-08-20
Artificial Intelligence Models For The Dark Universe written by Ariel Fernández and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-20 with Science categories.
The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95% of all the matter and energetic equivalent in the universe. The enormous surplus brings up daunting enigmas, such as the cosmological constant problem and the apparent distortions in the dynamics of deep space, 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 unveil the 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 implement a physical model of the dark sector that enables a meaningful extrapolation into the visibile sector. 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 AI applications to elucidate the nature of the dark universe. Key Features: · Provides readers with an intellectual toolbox to understand physical arguments on dark matter and energy. · Up to date with the latest cutting-edge research. · Authored by an expert on artificial intelligence and mathematical physics.
Querying Artificial Intelligence On The Dark Universe In A Quintessential Encoding Of Space Time
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Author : Ariel Fernández
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-08-30
Querying Artificial Intelligence On The Dark Universe In A Quintessential Encoding Of Space Time written by Ariel Fernández and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-30 with Science categories.
This book explores the possibility of the use of artificial intelligence (AI) to solve one of the cosmos’ biggest mysteries: the nature of undetectable forms of matter, namely dark matter and dark energy, which make up 95% of the universe. The book describes the outcome of this quest in terms of an entangled ur-universe that admits no observer, and incorporates an extra dimension to encode space-time as a latent manifold. A cosmic engine fueled by dark energy that maintains the topology of the universe during its expansion, involving autocatalytic vacuum creation, is identified. The physical picture of the cosmos presented in the book paves the way for a solution to the cosmological constant problem and provides a cogent explanation for the huge gap between the predicted and measured values that has troubled physicists for decades.
De Novo Quantum Cosmology With Artificial Intelligence
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Author : Ariel Fernández
language : en
Publisher: CRC Press
Release Date : 2025-07-22
De Novo Quantum Cosmology With Artificial Intelligence written by Ariel Fernández and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Science categories.
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.
Artificial Intelligence On Dark Matter And Dark Energy
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Author : Ariel Fernández
language : en
Publisher: CRC Press
Release Date : 2023-08-24
Artificial Intelligence On Dark Matter And Dark Energy written by Ariel Fernández and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with Computers categories.
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.
Deep Space Deep Learning
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Author : J.T. Alden
language : en
Publisher: eBookIt.com
Release Date : 2025-03-26
Deep Space Deep Learning written by J.T. Alden and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Science categories.
Explore the Final Frontier with the Most Advanced Machine Yet: Your Mind In an era where the stars and artificial intelligence converge, something extraordinary is happening beyond our night sky. Deep Space, Deep Learning: The AI Revolution in Astronomy unveils the groundbreaking synergy between AI and the cosmos, challenging the very essence of space exploration. Here, a universe of possibilities awaits! Imagine unlocking secrets of the universe faster than light itself. As telescopes evolve into intelligent observatories, and machine minds come alive to process cosmic data, new frontiers are on the horizon. This book navigates you through a journey where exoplanets are discovered with an algorithm's precision, and black holes reveal their mysteries to neural networks. Step inside next-gen AI observatories where real-time becomes a reality, and cosmic phenomena are decoded with unmatched finesse. Your role is pivotal in this cosmic collaboration. As astronomical knowledge melds with AI dynamism, human intellect stands at the forefront of this awe-inspiring transformation. Realize the indisputable successes of interdisciplinary ventures, from predicting solar activity to unraveling the riddles of dark matter and energy. Are you ready to be part of this celestial revolution? Dive into tales of autonomous missions and the search for extraterrestrial life, and discover how ethical considerations ensure a future where space exploration benefits all of humanity. Let your curiosity guide you through this cutting-edge frontier. With every page, ignite your imagination and expand your understanding. The universe, redefined by AI's possibilities, beckons you to become an integral player in the greatest adventure known to mankind. Don't miss this opportunity to redefine what you know about the cosmos and your place within it!
Cognitive Semantics Of Artificial Intelligence A New Perspective
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Author : Alexander Raikov
language : en
Publisher: Springer Nature
Release Date : 2021-02-02
Cognitive Semantics Of Artificial Intelligence A New Perspective written by Alexander Raikov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-02 with Technology & Engineering categories.
This book addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way. The electromagnetic waves, quantum fields, beam of light, chaos control, relativistic theory, cosmic string recognition, category theory, group theory, and so on can be used for this aim. Since the term artificial intelligence (AI) appeared, various versions of logic have been created; many heuristics for neural networks deep learning have been made; new nature-like algorithms have been suggested. At the same time, the initial digital, logical, and neural network principles of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author's convergent methodology, which provides the necessary conditions for purposeful and sustainable convergence of decision-making.
Advances In Artificial Intelligence And Machine Learning
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Author : Gaurav Raj
language : en
Publisher: Springer Nature
Release Date : 2025-03-16
Advances In Artificial Intelligence And Machine Learning written by Gaurav Raj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Computers categories.
This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Photonic Artificial Intelligence
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Author : Aleksandr Raikov
language : en
Publisher: Springer Nature
Release Date : 2024-03-26
Photonic Artificial Intelligence written by Aleksandr Raikov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Computers categories.
This book addresses an attempt to create Photonic Artificial Intelligence (PAI) system based on optical technologies, which process signals continuously. PAI could help to overcome digital computer limits and almost zero out the machine learning time and AI inference. It helps to consider feelings, the chaos of thoughts, cognitive activity, and the transcendental states of the human mind in AI systems. The book also discusses new problems such as synthesizing new photonic materials, creating optical control systems, and connecting PAI systems with outside digital computers and holographic memory. The book is aimed at a wide range of readers, including postgraduates and researchers, interested in advanced AI by creating its new paradigm, which can help to overcome traps of traditional AI development.
Artificial Intelligence For Science Ai4s
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Author : Qinghai Miao
language : en
Publisher: Springer Nature
Release Date : 2024-09-11
Artificial Intelligence For Science Ai4s written by Qinghai Miao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Business & Economics categories.
This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum.
Artificial Intelligence Blockchain Computing And Security Volume 1
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Author : Arvind Dagur
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Artificial Intelligence Blockchain Computing And Security Volume 1 written by Arvind Dagur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.