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digitization --- society --- artificial intelligence --- health data --- communication

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This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers.

Engineering --- Electrical engineering --- Wireless communication systems --- Mobile communication systems --- Computer organization --- Computers --- Artificial intelligence

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This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

Robotics and Automation --- Control and Systems Theory --- Artificial Intelligence --- Robotic Engineering --- Safe Control --- Deep Reinforcement Learning --- Recurrent Neural Network --- Force Control --- Obstacle Ovoidance --- Adaptive Control --- Trajectory Tracking --- Open Access --- Robotics --- Automatic control engineering --- Artificial intelligence

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This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.

Science and Technology Studies --- Human Geography --- IT Law, Media Law, Intellectual Property --- Artificial Intelligence --- AI --- Machine learning --- artificial intelligence --- 'big data' --- probability theory --- history of ideas --- legal interpretation --- Transhumanism --- Futurism --- Oliver Wendell Holmes Jr --- Wendell Holmes Jr. --- legal philosophy --- machine bias --- algorithmic bias --- Open Access --- Sociology --- Human geography --- Entertainment & media law --- Artificial intelligence

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The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.

Software Engineering --- Theory of Computation --- Artificial Intelligence --- Computer Systems Organization and Communication Networks --- Computer Hardware --- Simulation and Modeling --- Computer Engineering and Networks --- Computer Science --- architecture verification and validation --- artificial intelligence --- automata theory --- computer systems --- correlation analysis --- distributed computer systems --- embedded systems --- formal languages --- formal logic --- linguistics --- model checking --- programming languages --- semantics --- software architecture --- software design --- software quality --- verification and validation --- Open Access --- Computer science --- Mathematical theory of computation --- Artificial intelligence --- Computer networking & communications --- Computer hardware --- Computer modelling & simulation