Artificial Intelligence Models for the Dark Universe

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Publisher : CRC Press
ISBN 13 : 1040100910
Total Pages : 240 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Artificial Intelligence Models for the Dark Universe by : Ariel Fernández

Download or read book Artificial Intelligence Models for the Dark Universe written by Ariel Fernández and published by CRC Press. This book was released on 2024-08-20 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Artificial Intelligence to the Dark Universe

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Publisher :
ISBN 13 : 9781032818238
Total Pages : 0 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Applications of Artificial Intelligence to the Dark Universe by : ARIEL. FERNANDEZ

Download or read book Applications of Artificial Intelligence to the Dark Universe written by ARIEL. FERNANDEZ and published by . This book was released on 2024-08-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-time

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Author :
Publisher : Cambridge Scholars Publishing
ISBN 13 : 152753118X
Total Pages : 203 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-time by : Ariel Fernández

Download or read book Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-time written by Ariel Fernández and published by Cambridge Scholars Publishing. This book was released on 2023-08-30 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence on Dark Matter and Dark Energy

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Author :
Publisher : CRC Press
ISBN 13 : 1000925293
Total Pages : 173 pages
Book Rating : 4.96/5 ( download)

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Book Synopsis Artificial Intelligence on Dark Matter and Dark Energy by : Ariel Fernández

Download or read book Artificial Intelligence on Dark Matter and Dark Energy written by Ariel Fernández and published by CRC Press. This book was released on 2023-08-24 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cognitive Semantics of Artificial Intelligence: A New Perspective

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Author :
Publisher : Springer Nature
ISBN 13 : 9813367504
Total Pages : 130 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Cognitive Semantics of Artificial Intelligence: A New Perspective by : Alexander Raikov

Download or read book Cognitive Semantics of Artificial Intelligence: A New Perspective written by Alexander Raikov and published by Springer Nature. This book was released on 2021-02-02 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Poor Technology

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Publisher : Augsburg Fortress Publishers
ISBN 13 : 1506482317
Total Pages : 320 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Poor Technology by : Levi Checketts

Download or read book Poor Technology written by Levi Checketts and published by Augsburg Fortress Publishers. This book was released on 2024-01-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has demonstrated such advancement that people ask if it should be granted the moral status of personhood. This book argues that this view assumes that personhood corresponds to how well one's thinking mirrors the biases, worldview, and intelligence of the middle class, relegating the poor to the status of "nonhuman."

Photonic Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 9819712912
Total Pages : 118 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Photonic Artificial Intelligence by : Aleksandr Raikov

Download or read book Photonic Artificial Intelligence written by Aleksandr Raikov and published by Springer Nature. This book was released on with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence, Blockchain, Computing and Security Volume 1

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Publisher : CRC Press
ISBN 13 : 1003845819
Total Pages : 1029 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Artificial Intelligence, Blockchain, Computing and Security Volume 1 by : Arvind Dagur

Download or read book Artificial Intelligence, Blockchain, Computing and Security Volume 1 written by Arvind Dagur and published by CRC Press. This book was released on 2023-12-01 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

How AI Works

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Publisher : No Starch Press
ISBN 13 : 1718503725
Total Pages : 194 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis How AI Works by : Ronald T. Kneusel

Download or read book How AI Works written by Ronald T. Kneusel and published by No Starch Press. This book was released on 2023-10-24 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explaining—without a single mathematical equation—what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood." Artificial intelligence is everywhere—from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT—yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon. You’ll learn: The relationship between artificial intelligence, machine learning, and deep learning The history behind AI and why the artificial intelligence revolution is happening now How decades of work in symbolic AI failed and opened the door for the emergence of neural networks What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number. The implications of large language models, like ChatGPT and Bard, on our society—nothing will be the same again AI isn’t magic. If you’ve ever wondered how it works, what it can do, or why there’s so much hype, How AI Works will teach you everything you want to know.

Analyzing Future Applications of AI, Sensors, and Robotics in Society

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Author :
Publisher : IGI Global
ISBN 13 : 1799835014
Total Pages : 335 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Analyzing Future Applications of AI, Sensors, and Robotics in Society by : Musiolik, Thomas Heinrich

Download or read book Analyzing Future Applications of AI, Sensors, and Robotics in Society written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2020-09-11 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.