Interdisciplinary Evolution of the Machine Brain
Author | : Wenfeng Wang |
Publisher | : Springer Nature |
Total Pages | : 154 |
Release | : 2021-01-04 |
ISBN-10 | : 9789813342446 |
ISBN-13 | : 9813342447 |
Rating | : 4/5 (447 Downloads) |
Download or read book Interdisciplinary Evolution of the Machine Brain written by Wenfeng Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.