Bosede Iyiade Edwards – författare

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.

This book discusses the development of the next generation learning spaces with emerging technologies. Engaging learning technologies have remained central in education for assisting instructors to teach and learners to learn, more effectively.

This book discusses the development of the next generation learning spaces with emerging technologies. Engaging learning technologies have remained central in education for assisting instructors to teach and learners to learn, more effectively.

This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human–machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging theory and practical implementation, the book goes beyond theoretical foundations, offering actionable strategies for educators, policymakers, and institutions to harness the transformative power of technology enhanced learning. This book showcases the impact of these innovations on human learning and machine learning, which is particularly relevant for developing and transition nations. Enriched with case studies, empirical research, and data-driven insights, it serves as a comprehensive guide for understanding and navigating the evolving landscape where human learning and machine learning converge.