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Artificial Intelligence is moving beyond incremental innovation toward a threshold of transformative potential, where its capabilities may surpass human performance in critical cognitive, creative, and strategic domains.
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This book explores advanced methodologies and empirical research in machine learning through data mining and GPU-based parallel programming. It highlights the integration of modern deep learning techniques with CUDA architecture for efficient big data processing.
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This book explores the transformative role of robotics and generative AI in healthcare, detailing their engineering foundations,... Læs mere
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This book offers a compelling look into the future of artificial intelligence, where AI systems are no longer limited to just processing information, but can perceive the world through synthetic senses.
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This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on... Læs mere
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With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to... Læs mere
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This book explores how cloud computing, fog computing, edge computing, and artificial intelligence (AI) come together to form an intelligent mobile and IoT ecosystem. This book is for researchers, engineers, and practitioners interested in mobile and IoT ecosystems.
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The book focuses on concepts to give readers a wider perspective on generative AI systems such as ChatGPT. It examines algorithmic elements pertaining to the improvement of current tools. It also examines how generative AI can lead to social benefits.
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Topics in Modal Analysis, Testing & Parameter Identification I,... Læs mere
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A state-of-the-art review of developments in the use of artificial neural networks for analyzing remotely-sensed satellite data. It demonstrates a wide range of uses of neural networks for remote sensing applications and reports the views of a number of European experts.