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Artificial Brains. An Inexpensive Method for Accelerating the Evolution of Neural Network Modules for Building Artificial Brains
Hugo de Garis, Liu Rui, Huang Di, Hu Jing
144 - 158
Frontiers in Artificial Intelligence and Applications
Volume 157: Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms
Abstract

This chapter shows how a “Celoxica” electronic board (containing a Xilinx Virtex II FPGA chip) can be used to accelerate the evolution of neural network modules that are to be evolved quickly enough, so that building artificial brains that consist of 10,000s of interconnected modules, can be made practical. We hope that this work will prove to be an important stepping stone towards making the new field of brain building both practical and cheap enough for many research groups to start building their own artificial brains.

$35.00 / €27.50 / £22.00
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