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This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.
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This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.