Artificial Intelligence Models For The Dark Universe

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Artificial Intelligence Models for the Dark Universe

Author : Ariel Fernández
Publisher : CRC Press
ISBN 13 : 1040100910
Total Pages : 240 pages
Book Rating : 4.0/5 (41 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.

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

Author : Ariel Fernández
Publisher : Cambridge Scholars Publishing
ISBN 13 : 152753118X
Total Pages : 203 pages
Book Rating : 4.5/5 (275 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.

Cognitive Semantics of Artificial Intelligence: A New Perspective

Author : Alexander Raikov
Publisher : Springer Nature
ISBN 13 : 9813367504
Total Pages : 130 pages
Book Rating : 4.8/5 (133 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.

Artificial Intelligence on Dark Matter and Dark Energy

Author : Ariel Fernández
Publisher : CRC Press
ISBN 13 : 1000925293
Total Pages : 173 pages
Book Rating : 4.0/5 (9 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.

Poor Technology

Author : Levi Checketts
Publisher : Augsburg Fortress Publishers
ISBN 13 : 1506482317
Total Pages : 320 pages
Book Rating : 4.5/5 (64 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."

Artificial Intelligence for Science (AI4S)

Author : Qinghai Miao
Publisher : Springer Nature
ISBN 13 : 3031674197
Total Pages : 118 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Artificial Intelligence for Science (AI4S) by : Qinghai Miao

Download or read book Artificial Intelligence for Science (AI4S) written by Qinghai Miao and published by Springer Nature. This book was released on with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Photonic Artificial Intelligence

Author : Aleksandr Raikov
Publisher : Springer Nature
ISBN 13 : 9819712912
Total Pages : 118 pages
Book Rating : 4.8/5 (197 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:

How AI Works

Author : Ronald T. Kneusel
Publisher : No Starch Press
ISBN 13 : 1718503725
Total Pages : 194 pages
Book Rating : 4.7/5 (185 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

Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 : 1799835014
Total Pages : 335 pages
Book Rating : 4.7/5 (998 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.

Artificial Intelligence

Author : Wim Naudé
Publisher : Cambridge University Press
ISBN 13 : 1009483102
Total Pages : 377 pages
Book Rating : 4.0/5 (94 download)

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Book Synopsis Artificial Intelligence by : Wim Naudé

Download or read book Artificial Intelligence written by Wim Naudé and published by Cambridge University Press. This book was released on 2024-05-31 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is Artificial Intelligence a more significant invention than electricity? Will it result in explosive economic growth and unimaginable wealth for all, or will it cause the extinction of all humans? Artificial Intelligence: Economic Perspectives and Models provides a sober analysis of these questions from an economics perspective. It argues that to better understand the impact of AI on economic outcomes, we must fundamentally change the way we think about AI in relation to models of economic growth. It describes the progress that has been made so far and offers two ways in which current modelling can be improved: firstly, to incorporate the nature of AI as providing abilities that complement and/or substitute for labour, and secondly, to consider demand-side constraints. Outlining the decision-theory basis of both AI and economics, this book shows how this, and the incorporation of AI into economic models, can provide useful tools for safe, human-centered AI.

Topological Dynamics in Metamodel Discovery with Artificial Intelligence

Author : Ariel Fernández
Publisher : CRC Press
ISBN 13 : 1000806421
Total Pages : 228 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Topological Dynamics in Metamodel Discovery with Artificial Intelligence by : Ariel Fernández

Download or read book Topological Dynamics in Metamodel Discovery with Artificial Intelligence written by Ariel Fernández and published by CRC Press. This book was released on 2022-12-21 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level. Dealing with artificial intelligence, this book delineates AI’s role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multiscale hierarchies hitherto considered off limits for data science. Key Features: Introduces new and advanced methods of model discovery for time series data using artificial intelligence Implements topological approaches to distill "machine-intuitive" models from complex dynamics data Introduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equations Heralds a new era in data-driven science and engineering based on the operational concept of "computational intuition" Intended for graduate students, researchers, and practitioners interested in dynamical systems empowered by AI or machine learning and in their biological, engineering, and biomedical applications, this book will represent a significant educational resource for people engaged in AI-related cross-disciplinary projects.

Goethe in the Age of Artificial Intelligence

Author : Malte Ebach
Publisher : Springer Nature
ISBN 13 : 9811967415
Total Pages : 149 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Goethe in the Age of Artificial Intelligence by : Malte Ebach

Download or read book Goethe in the Age of Artificial Intelligence written by Malte Ebach and published by Springer Nature. This book was released on 2023-01-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inside you lies a precise scientific instrument – the ability to observe Nature and recall past experiences. You were born with it and you use it every day. You can be trained to use it more effectively to, for example, compare and discover new species of organisms or new minerals. Our senses do have limitations, and we often use microscopes, telescopes and other tools to aid our observation. However, we benefit from knowing their limitations and the impact they have on our ability to combine our observations and our experience to make decisions. Once these tools replace our direct observation and our experience we ourselves become disconnected from Nature. Scientific practice turns into well-meant opinions out-weighing empirical evidence. This is happening now in the current age of big data and artificial intelligence. The author calls this the Modern Hubris and it is slowly corroding science. To combat the Modern Hubris and to reconnect with Nature, scientists need to change the way they practise observation. To do so may require the scientist to transform themself. One person who successfully did this was Johann Wolfgang von Goethe. His journey demonstrates how one man attempted to take on the Modern Hubris by transforming his life and how he saw Nature. Following Goethe’s transformation teaches us how we can also reconnect ourselves with Nature and Natural science.

Artificial Intelligence for Scientific Discoveries

Author : Raban Iten
Publisher : Springer Nature
ISBN 13 : 3031270193
Total Pages : 168 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence for Scientific Discoveries by : Raban Iten

Download or read book Artificial Intelligence for Scientific Discoveries written by Raban Iten and published by Springer Nature. This book was released on 2023-04-11 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters that contain sufficient information to make predictions about the considered system. The basic idea of this approach is to employ a deep learning architecture, SciNet, to model a simplified version of a physicist's reasoning process. SciNet finds the relevant physical parameters, like the mass of a particle, from experimental data and makes predictions based on the parameters found. The author demonstrates how to extract conceptual information from such parameters, e.g., Copernicus' conclusion that the solar system is heliocentric.

AI & Gen-AI to Explore the Universe

Author : Rakesh Kumar
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (324 download)

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Book Synopsis AI & Gen-AI to Explore the Universe by : Rakesh Kumar

Download or read book AI & Gen-AI to Explore the Universe written by Rakesh Kumar and published by Independently Published. This book was released on 2024-07-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cosmos has always fascinated humanity, driving us to seek answers to fundamental questions about our existence, the nature of the universe, and the laws that govern it. From ancient stargazers to modern astronomers, the quest to understand the universe has been a relentless pursuit. With the advent of Artificial Intelligence (AI) and Generative AI (GenAI), we are now poised at the brink of a new era in cosmic exploration. "AI & GenAI to Explore the Universe" delves into the transformative impact these technologies have on our understanding of the cosmos. This book explores how AI and GenAI are revolutionizing astronomy, astrophysics, and space exploration by providing powerful tools for data analysis, simulation, and prediction. From discovering distant exoplanets and mapping dark matter to simulating the evolution of galaxies and predicting cosmic events, AI and GenAI are becoming indispensable in our quest to unravel the mysteries of the universe. This journey begins with an overview of the evolution of AI and GenAI, tracing their roots and highlighting key technological advancements that have paved the way for their application in space sciences. We then delve into the importance of AI in modern astronomy, showcasing how machine learning algorithms and AI-driven models are enhancing our ability to interpret vast datasets and uncover new celestial phenomena. Current space exploration missions employing AI are examined in detail, demonstrating the practical applications and successes of these technologies in real-world scenarios. The book also explores the foundational concepts of AI and GenAI, providing a solid grounding in the basics of artificial intelligence, understanding generative AI, and the key technologies and algorithms that drive these fields. In the chapters that follow, we investigate specific applications of AI and GenAI in astronomy and space exploration. Topics include data analysis, star and planet detection, machine learning in space telescopes, creating simulations of the universe, predicting cosmic events, and planning space missions. We also explore how these technologies are being used for spacecraft navigation, interplanetary travel, predictive maintenance, and robotic exploration. The book goes further to examine the role of AI in planetary science, particularly in exploring Mars, studying exoplanets, and utilizing robotic rovers. In astrobiology, we discuss the search for extraterrestrial life and the use of AI in analyzing biosignatures and habitability. In cosmology, we explore how AI is used to map the universe, research dark matter and dark energy, and detect gravitational waves. Human-machine collaboration in space, ethical implications, regulatory frameworks, and ensuring responsible AI deployment are also discussed, providing a holistic view of the current and future landscape of AI and GenAI in space exploration. Finally, we look ahead to emerging trends, technologies, and global initiatives that will shape the future of AI and GenAI in our cosmic endeavors.

Artificial Intelligence For Science: A Deep Learning Revolution

Author : Alok Choudhary
Publisher : World Scientific
ISBN 13 : 9811265682
Total Pages : 803 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Artificial Intelligence For Science: A Deep Learning Revolution by : Alok Choudhary

Download or read book Artificial Intelligence For Science: A Deep Learning Revolution written by Alok Choudhary and published by World Scientific. This book was released on 2023-03-21 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Author : Chkoniya, Valentina
Publisher : IGI Global
ISBN 13 : 1799869865
Total Pages : 653 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by : Chkoniya, Valentina

Download or read book Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry written by Chkoniya, Valentina and published by IGI Global. This book was released on 2021-06-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

The Alignment Problem: Machine Learning and Human Values

Author : Brian Christian
Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian

Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.