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Expanding and clarifying their previous book, "I Killed Schrodinger's Cat," the authors explain all forms of mass and energy using just one particle and three forces (gravity, electrostatic repulsion, and magnetism). Predictive, measurable solutions are proposed for electricity, dark matter, the nature of light, entropy, and many other issues. Written primarily for laymen, the book also contains an appendix with mathematical proofs for the scientist.
The book reveals unearthed discoveries explaining scientific and technical details of vimana shasthra. For the first time in history 3D modelling of Vedic Vimanas are done and their CFD analysis revealing the flying abilities of the Vedic space crafts. Greatest thing is that Famous former DRDO, ISRO Indian Scientists encouragement for the works in the book, also a foreign former NASA scientist special chapter on antigravity is in the book. The re- translations of the vimana shasthra shlokas revealing advanced aerial wars, defence systems, along with eco-friendly manufacturing, propulsion, space travel. A fantastic rendition of modern technology, uncover the 3D printing, and 4D printing possibilities of Vimana 3D models.
This book contains select papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), held at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from 5–7 February 2020. The book discusses new developments and advances in the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, hybrid intelligent systems, etc. The book, containing 19 chapters, is useful to the researchers, scholars, and practising engineers as well as graduate students of engineering and applied sciences.
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.
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.
The aim of this book is to explore science and technology from the viewpoint of creating new knowledge, as opposed to the reinterpretation of existing knowledge in ever greater but uncertain detail. Scientists and technologists make progress by distinguishing between what they regard as meaningful and what they consider as secondary or unimportant. The meaningful is dynamic; typically, the less important is static. Science and technology have made a major contribution to the culture and to the standard of living of our society. From antiquity to the present day, the most distinguished scientists and technologists have been thinkers, experimenters and persons willing and able to challenge “the obvious”. Technology develops products and processes based on the breakthroughs of science. If technologists fail to steadily upgrade their skills, tools and methods, they will only be as good as their last design, risking obsolescence. Using practical examples and case studies, this book documents the correlations existing between science and technology, and elucidates these correlations with practical applications ranging from real-life situations, from R&D to energy production. As it is a salient problem, and a most challenging one to our society, power production has been chosen as a major case study. The holistic approach to science and technology followed by this text enhances the ability to deliver practical results. This book is intended for students and researchers of science, technology and mathematical analysis, while also providing a valuable reference book for professionals. Its subject is one of the most debated problems of mankind.
What is the fastest that humans have ever travelled? Do all Scientists agree that they understand gravity? Is the argument of Darwin versus Creationism a good argument on either side? Could some reality be in fact be an illusion as Einstein implied? This book tries to answer some of those questions, and how all truth we perhaps might believe, might actually exist together at the same time. The first two sections of this book speak to Science and Human Knowledge and how much do we humans really know? I have a science degree, but even I learned much in research while writing this book. I tried to begin this book with a completely open mind, since I believe that is how to seek truth. In some cases I found new things surprising - at least to me. In other cases, I just learned what some bright people in the past and current also think - which just made me smile. And I tried to write the book in such a simple manner that even I can understand it. After the first two sections, I do get into some theories of mine based on human knowledge and science in the beginning of the book. You are more than welcome to form other theories. Those ensuing discussions might even make life more interesting. Is the purpose of this book to convince you of something? No. It's goal is to make us all think, including me, and also to get our discussions into the 21st century. For some odd reason, some humans believe that other humans should never think about things that are important. Science has moved on. We no longer believe that the world has only four elements, Earth, Wind and Fire and Water. It is time to get up to speed with what humans have learned. And then ... comes the fun ... of deciding what theories based on that.... each of us wish to believe.
Information is an important concept that is studied extensively across a range of disciplines, from the physical sciences to genetics to psychology to epistemology. Information continues to increase in importance, and the present age has been referred to as the “Information Age.” One may understand information in a variety of ways. For some, information is found in facts that were previously unknown. For others, a fact must have some economic value to be considered information. Other people emphasize the movement through a communication channel from one location to another when describing information. In all of these instances, information is the set of characteristics of the output of a process. Yet Information has seldom been studied in a consistent way across different disciplines. Information from Processes provides a discipline-independent and precise presentation of both information and computing processes. Information concepts and phenomena are examined in an effort to understand them, given a hierarchy of information processes, where one process uses others. Research about processes and computing is applied to answer the question of what information can and cannot be produced, and to determine the nature of this information (theoretical information science). The book also presents some of the basic processes that are used in specific domains (applied information science), such as those that generate information in areas like reasoning, the evolution of informative systems, cryptography, knowledge, natural language, and the economic value of information. Written for researchers and graduate students in information science and related fields, Information from Processes details a unique information model independent from other concepts in computer or archival science, which is thus applicable to a wide range of domains. Combining theoretical and empirical methods as well as psychological, mathematical, philosophical, and economic techniques, Losee’s book delivers a solid basis and starting point for future discussions and research about the creation and use of information.
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.