Paper Info
Title
The China-Brain Project: Building China's Artificial Brain Using an Evolved Neural Net Module Approach
Abstract
Prof. Hugo de Garis has recently received a 3 million RMB, 4 year grant to build China's first artificial brain, starting in 2008, that will consist of approximately 15,000 interconnected neural net modules, evolved one at a time in a special accelerator board [1] (which is 50 times faster than using an ordinary PC) to control the hundreds of behaviors of an autonomous robot. The approach taken in building this artificial brain is fast and cheap (e.g. $1500 for the FPGA board, $1000 for the robot, and $500 for the PC, a total of $3000), so we hope that other brain building groups around the world will copy this evolutionary engineering approach.
Year
Venue
Keywords
2008
AGI
prof. hugo,artificial brain,module approach,china-brain project,ordinary pc,evolved neural,brain building group,fpga board,special accelerator board,million rmb,autonomous robot,building china,year grant,evolutionary engineering approach,neural net
Field
DocType
Volume
Artificial brain,Computer science,China,Field-programmable gate array,Artificial intelligence,Robot,Artificial neural network,Autonomous robot,China brain
Conference
171
ISSN
Citations 
PageRank 
0922-6389
2
0.50
References 
Authors
6
14
Name
Order
Citations
PageRank
Hugo de Garis1460103.58
Jian Yu Tang220.84
Zhiyong Huang320.84
Lu Bai420.84
Cong Chen520.84
Shuo Chen619933.91
Junfei Guo773.01
Xianjin Tan820.84
Hao Tian96212.50
Xiaohan Tian1020.84
Xianjian Wu1120.84
Ye Xiong1220.84
Xiangqian Yu1321.18
Di Huang1422.19