This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
China has a myriad and diverse range of neighbours who are significant in their own right but are also of global importance. Asia accounts for 25% of global GDP.This book evaluates the potential for both co-operation and conflict within the Asian region Border problems and historical problems are still plaguing countries in the region and are affecting the relations between them. China and India have not yet resolved their land frontier issues. Furthermore, China has maritime disputes with Japan, South Korea, Vietnam, and the Philippines. The historical issues among China, Japan, and South Korea make the cooperation between them lack a basis of political mutual trust. Therefore, although there are close trade contacts among these countries, China, Japan, and South Korea have not reached any FTA. In South Asia, because of long-term India-Pakistan conflicts, South Asia's Association for Regional Cooperation (SAARC) has been useless and is unable to effectively promote regional economic cooperation, which is a factor in pushing India to develop towards the East. These unstable factors have not only hindered the formation of long-term institutional arrangements on economic and trade cooperation within the region, but have also caused various unexpected events to disrupt existing cooperation. Throughout this book economic data and analysis is provided which gives an insight into the trade and financial links that bind this region together. Written by experts in China it gives a fascinating view of China's approach to its neighbours. China is assuming a more important role on the world stage but it is important to not forget the key role it plays in its own neighbourhood.
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
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