Applications Of Artificial Intelligence To The Dark Universe

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

DOWNLOAD NOW!

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.

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

DOWNLOAD NOW!

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.

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

DOWNLOAD NOW!

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.

Author : Xiao-Zhi Gao
Publisher : Springer Nature
ISBN 13 : 9813346043
Total Pages : 922 pages
Book Rating : 4.48/5 ( download)

DOWNLOAD NOW!

Download or read book Applications of Artificial Intelligence in Engineering written by Xiao-Zhi Gao and published by Springer Nature. This book was released on 2021-05-10 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.

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

DOWNLOAD NOW!

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.

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

DOWNLOAD NOW!

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.

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

DOWNLOAD NOW!

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.

Author : Leonard Barolli
Publisher : Springer
ISBN 13 : 3030150356
Total Pages : 1172 pages
Book Rating : 4.58/5 ( download)

DOWNLOAD NOW!

Download or read book Web, Artificial Intelligence and Network Applications written by Leonard Barolli and published by Springer. This book was released on 2019-03-14 with total page 1172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Author : Endre Pap
Publisher : Springer Nature
ISBN 13 : 3030727114
Total Pages : 353 pages
Book Rating : 4.16/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence: Theory and Applications written by Endre Pap and published by Springer Nature. This book was released on 2021-07-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.

Author : Obaid, Ahmed J.
Publisher : IGI Global
ISBN 13 :
Total Pages : 505 pages
Book Rating : 4.41/5 ( download)

DOWNLOAD NOW!

Download or read book Advanced Applications of Generative AI and Natural Language Processing Models written by Obaid, Ahmed J. and published by IGI Global. This book was released on 2023-12-21 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.