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Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

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Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

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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Page Count

154

Publisher

Springer Nature

Published Date

ISBN 10

9813342447

ISBN 13

9789813342446

Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

154

Publisher

Springer Nature

Published Date

ISBN 10

9813342447

ISBN 13

9789813342446