TY  - GEN
AB  - 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.
AU  - Wang, Wenfeng,
AU  - Cai, Hengjin,
AU  - Deng, Xiangyang,
AU  - Lu, Chenguang,
AU  - Zhang, Limin,
CN  - Q325.5
DO  - 10.1007/978-981-33-4244-6
DO  - doi
ID  - 1433913
KW  - Machine learning.
KW  - Artificial intelligence.
KW  - Computational intelligence.
KW  - Robotics.
KW  - Automation.
KW  - Apprentissage automatique.
KW  - Intelligence artificielle.
KW  - Intelligence informatique.
KW  - Robotique.
KW  - Automatisation.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4244-6
N2  - 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.
SN  - 9813342447
SN  - 9789813342446
T1  - Interdisciplinary evolution of the machine brain :vision, touch & mind /
TI  - Interdisciplinary evolution of the machine brain :vision, touch & mind /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4244-6
ER  -