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“CAM-Brain” ATR’s artificial brain project. A progress report. (English) Zbl 0926.68119
Summary: 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 200,000,000 CA cells a second. It is possible that NTT’s “CAM-System” (essentially a massively parallel device) may be able to update a trillion 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.
MSC:
68T05 Learning and adaptive systems in artificial intelligence
68Q80 Cellular automata (computational aspects)
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References:
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[2] Yu-lin Zhou, Long-jun Shen, Guang-wei Yuan, Stability of Finite Difference Schemes with Nonuniform Meshes for Quasilinear Parabolic Systems,Beijing Math., 1995, to appear.
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[4] Yu-lin Zhou, Difference Schemes with Nonuniform Meshes for Nonlinear Parabolic Systems,Preprint, IAPCM # 94-06, 1994.
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