Abstract
A new architecture SBA is proposed for real-time data processing. The SBA is derived from systematic realization of human brain, two important features (adaptiveness and stability) of which are carefully introduced. The scheme of dataflow on SBA seems to be similar to that of a conventional parallel machine, but the architecture is different in realizing directly two types of memory, i.e., STM (Short Term Memory) and LTM (Long Term Memory). Learning is performed on these two memories, since SBA supports both types of learning; one for STM and the other for LTM.
As a result, the SBA may become a new type of neural AI (Artificial Intelligence) computer.
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© 1997 Springer-Verlag Berlin Heidelberg
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Ae, T., Fukumoto, H., Hiwatashi, S. (1997). Special-purpose brainware architecture for data processing. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_54
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DOI: https://doi.org/10.1007/3-540-63173-9_54
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