UID:
almahu_9949083916902882
Format:
XII, 145 p. 57 illus., 45 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789813342446
Series Statement:
Research on Intelligent Manufacturing,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789813342439
Additional Edition:
Printed edition: ISBN 9789813342453
Additional Edition:
Printed edition: ISBN 9789813342460
Language:
English
DOI:
10.1007/978-981-33-4244-6
URL:
https://doi.org/10.1007/978-981-33-4244-6
URL:
Volltext
(URL des Erstveröffentlichers)
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