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CAM-BRAIN"ATR's ARTIFICIAL BRAIN PROJECT A Progress Report 被引量:1
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作者 Hugo de Garis(Brain Builder Group, Evoluhonary Systems Department,ATR Human Information Processing Research Laboratories,2-2 Maridai, Seika-cho, Soraku-gun, Kansai Sclience City, Kyoto, 619-02, Japan.tel. + 81 7749 5 1079, fax. + 81 7749 5 1008 degaris@hi 《Wuhan University Journal of Natural Sciences》 CAS 1996年第Z1期571-578,共8页
This paper reports on progress made in the first 3 years of.ATR's 'CAM-Brain'Project, which aims to use 'evolutionary e.gi...,i.gi' techniques to build/grow/evolve a RAM-and-cellular-automata based... This paper reports on progress made in the first 3 years of.ATR's 'CAM-Brain'Project, which aims to use 'evolutionary e.gi...,i.gi' 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 MITs Cellular Automata Machine 'CAM-8,i, or NTT's Content Addressable Memory System 'CAM-System'. The states of a billion (later a trillion) 3D cellular automata cells, and edlions 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. MITt,,'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 i,CAM-B,ai.,' research project, ending in 2001. 展开更多
关键词 artificial brains Evolutionary Engineering Neural Networks Genetic Algorithms CellularAutomata Cellular Automata Machines(CAMs) NANO-ELECTRONICS Darwin Machines.
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Investigation of CAM-Brain by Using EQUnn Model
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作者 Wang Baozhong, Kang Lishan, He Wei(State Key Lab of Software Engineering,Wuhan University, Wuhan 430072,China) 《Wuhan University Journal of Natural Sciences》 EI CAS 1998年第2期139-142,共4页
The model of EQUnn (equivalent neural network of the CAM-Brain model) is proposed. With the help of EQUnn model, it is proved that the CAM-Brain can solve the XOR problem.
关键词 Key words CAM BRAIN artificial brains evolvable hardware cellular automata neural network genetic algorithm
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A Low-Power Artificial Synapse Could One Day Interface with the Brain
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《Chinese Journal of Biomedical Engineering(English Edition)》 2017年第1期10-10,共1页
Battery technology inspires a flexible,organic,nonvolatile device for neuromorphic circuits that needs only millivolts to change state.The researchers have created a new form of'artificial synapse'that may one... Battery technology inspires a flexible,organic,nonvolatile device for neuromorphic circuits that needs only millivolts to change state.The researchers have created a new form of'artificial synapse'that may one day be used to create flexible circuitry that could directly interface with the brain. 展开更多
关键词 flexible A Low-Power artificial Synapse Could One Day Interface with the Brain
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A platform of digital brain using crowd power
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作者 Dongrong XU Fei DAI Yue LU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2018年第1期78-90,共13页
A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design ... A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported. 展开更多
关键词 artificial intelligence Digital brain Synthesis reasoning Multi-source analogical generating Crowd wisdom Deducing Neuroimaging
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