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'CAM-Brain' ATR's billion neuron artificial brain project: a three year progress report

机译:“Cam-Brain”ATR的亿个神经元人工大脑项目:三年进度报告

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This paper reports on progress made in the first 3 years of ATR's CAM-Brain Project, which aims to use evolutionary engineering techniques to build/grow/evolve a RAM-and-cellular-automata based artificial brain consisting of thousands of interconnected neural network modules inside special hardware such as MIT's Cellular Automata Machine CAM-8, or NTT's Content Addressable Memory System CAM-System. The states of a billion (later a trillion) 3D cellular automata cells, and millions of cellular automata rules which govern their state changes, can be stored relatively cheaply in giga(tera)bytes of RAM. After 3 years work, the CA rules are almost ready. MIT's CAM-8 (essentially a serial device) can update 200 million CA cells a second. It is likely that NTT's CAM-System (essentially a massively parallel device) will be able to update a hundred billion CA cells a second. Hence all the ingredients will soon be ready to create a revolutionary new technology which will allow thousands of evolved neural network modules to be assembled into artificial brains. This in turn will probably create not only a new research field, but hopefully a whole new industry, namely brain building. Building artificial brains with a billion neurons is the aim of ATR's 8 year CAM-Brain research project, ending in 2001.
机译:本文报告了ATR的ATR CAM-BRANT项目的前3年的进展,该项目旨在使用进化工程技术来构建/生长/演变为基于RAM和 - 蜂窝自动机的人工大脑组成,包括数千个互连的神经网络模块内部特殊硬件,如麻省理工学院的蜂窝自动机CAM-8,或NTT的内容可寻址存储系统CAM系统。 10亿(千兆)3D细胞自动机细胞以及数百万个蜂窝自动机规则来控制其州变化的州,可以相对便宜地储存在RAM的GIGA(TERA)字节中。经过3年的工作,CA规则几乎准备就绪。麻省理工学院的CAM-8(基本上是串行设备)可以更新200万CA电池一秒钟。 NTT的CAM系统(基本上是一个大规模的并行设备)很可能能够更新一秒钟的CA电池。因此,所有的成分都很快就会准备好创建一种革命性的新技术,这将使数千个进化的神经网络模块组装成人造大脑。这反过来可能不仅可以创造一个新的研究领域,但希望全新的行业,即大脑建设。建立百年神经元的人工大脑是ATR 8年凸轮脑大脑研究项目的目标,于2001年结束。

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