What does the future of AI hold—a supportive partner or a rival with its own illusion of self? This book explores this critical question by introducing degenerated design, a groundbreaking framework for creating resi...
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ISBN:
(数字)9783031856044
ISBN:
(纸本)9783031856037;9783031856068
What does the future of AI hold—a supportive partner or a rival with its own illusion of self? This book explores this critical question by introducing degenerated design, a groundbreaking framework for creating resilient, adaptive systems inspired by natural processes like immunity and collective intelligence. Rejecting traditional optimization-focused AI paradigms, this approach embraces imperfection and diversity as essential for building intelligentsystems that thrive in dynamic environments. Spanning industries such as robotics, automotive, biotechnology, quantum computing, and space exploration, the book also ventures into the cognitive dimensions of AI. Inspired by human sensory systems, it proposes a two-sided model, possibly extendable to that of consciousness, exploring the interplay between passive automata and active intentional agents. It delves into the origins and illusions of self-consciousness, examining its survival merits and dangers in both biological and artificial contexts. A must-read for system designers, CEOs, and AI researchers, this book also challenges academics and students to rethink the future of generative AI and antiAI systems. This book is both a technical blueprint and a philosophical exploration of AI’s potential to liberate or confront humanity. The future of human AI coexistence starts here.
By offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as healthcare, agri...
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ISBN:
(数字)9783031876974
ISBN:
(纸本)9783031876967;9783031876998
By offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as healthcare, agriculture, education, manufacturing, and smart cities. It explores practical applications of the Internet of Robotic Things (IoRT), enabling readers to leverage its transformative potential to create smarter, more efficient environments.
The book introduces a fresh perspective by combining the fields of robotics and IoT into a cohesive framework, underpinned by innovations in edge computing, cloud robotics, and Industry 4.0. Unlike traditional approaches, it emphasizes the convergence of these technologies to foster novel solutions for remote automation and data-driven intelligence.
Covering topics like data management, machine learning, Hadoop, and IoRT applications, this book provides a comprehensive scope that balances theoretical foundations with real-world implementations. It is tailored for academic researchers, practitioners, and educators aiming to stay at the forefront of IoRT innovation and its practical deployment. With its unique approach and broad applicability, this book is an essential guide for exploring cutting-edge IoRT technologies, overcoming integration challenges, and inspiring the development of advanced systems that redefine how technology interacts with the physical world.
This book provides excellent examples of metaverse and virtual reality and their unlimited possibilities for education and industry. By examining innovative educational activities in both real and virtual worlds, such...
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ISBN:
(数字)9789819633418
ISBN:
(纸本)9789819633401;9789819633432
This book provides excellent examples of metaverse and virtual reality and their unlimited possibilities for education and industry. By examining innovative educational activities in both real and virtual worlds, such as Second Life, SL (a three-dimensional world where avatars perform specific tasks on behalf of us), we get a unique perspective on how these technologies can revolutionize learning and professional practices. Metaverse offers a fully immersive and interconnected virtual environment, enabling individuals to engage in digital experiences that closely resemble real-world interactions, thereby providing limitless possibilities for education and industry. In addition, the chapters cover various key topics, including the integration of virtual reality in creative game design, the use of VR (virtual reality) headsets with sensor glasses for physiological data collection, and the application of VR in fields like architecture and medical education. Artificial Intelligence, Robotics, and Machine Learning (along with other related fields) are also mentioned. In addition, readers will encounter discussions about the future fusion of real and virtual worlds, highlighting the role of Digital Twin Technology and Augmented Reality. The book invites readers to consider critical questions about the implications of these technologies for society and industry.
This book is a must-read for students, educators, engineers, and researchers interested in the cutting-edge applications of virtual reality and the metaverse. It serves as a textbook, reference, and practical guide, making it invaluable for academic audiences and professionals seeking to harness the power of these technologies for innovative solutions. Whether you are a professor, scientist, or engineer, or simply curious about the metaverse, avatars, and virtual reality, this book promises to be a rewarding journey into the limitless potential of these technologies for creative education and industry.
This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector m...
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ISBN:
(数字)9783319325453
ISBN:
(纸本)9783319325446;9783319813134
This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.;The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.;All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages(CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.;The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.;All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).
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