Cognitive Machine Intelligence by Inam Ullah Khan (.PDF)
File Size: 12.9 MB
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies by Inam Ullah Khan, Salma El Hajjami, Mariya Ouaissa, Salwa Belaqziz
Requirements: .PDF reader, 12.9 MB
Overview: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of Machine Intelligence, Artificial Intelligence (AI), and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of Machine Learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores essential role of Machine Learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of Artificial Intelligence and cognitive computing.
Genre: Non-Fiction > Tech & Devices
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