Interdisciplinary Evolution of the Machine Brain: Vision, Touch Mind [Hardcover]

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.

Data-driven Approach in Machine Learning.- Environments Monitoring and Understanding.- Process-based Perception to the Environments.- Intelligent Manufacturing for the Implementation.- Reconciled Interpretation of Vison, Touch & Minds.- Expanded Insights into the Evolution of Machine Brain.

Wenfeng Wang is a full professor in Shanghai Institute of Technology and the director of International Academy of Visual Art and Engineering. A key tallent in Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (2018- ). A reviewer of many SCI journals,including some top journals - Water Research, Science China-Information Sciences, Science of the Total Environment, Environmental Pollution, IEEE Transactions on Automation Science and Engineering and etc. A keynote speaker of AMICR2019, IACICE2020, OAES2020, AICS2021, 3DIT-MSP&DL2020 and etc. A scientist in chief of RealMax, Shanghai Lingang Artificial IntelliglC.