Reprogrammable CNN and supercomputer

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395 20, 395 22, 395 27, G06F 1518

Patent

active

053555287

ABSTRACT:
This invention has 3 parts. Part 1 proposes a new CNN universal chip architecture with analog stored programs and time-multiplex templates. This breakthrough replaces hundreds of dedicated CNN chips with a single programmable, real-time VLSI chip with comparable significance to the invention of the microprocessor which gave birth to the personal computer industry. Part 2 proposes a unique wireless non-optical method for outputting information from the CNN analog array via electromagnetic waves generated by nonlinear oscillations and chaos. Part 3 combines a set of analog, or digitally emulated, CNN universal chips to design a CNN array supercomputer capable of solving nonlinear partial differential equations (e.g., wave type, Navier-Stokes-type, etc.) at a fraction of the time or cost required by current digital supercomputers. Indeed, "programmable physics" or "programmable bionics" can be implemented.

REFERENCES:
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patent: 4962342 (1990-10-01), Mead et al.
patent: 5058184 (1991-10-01), Fukushima
patent: 5140670 (1992-08-01), Chua et al.
Leon O. Chua and Lin Yang; "Cellular Neural Networks: Theory and Applications"; IEEE Transactions on Circuits and Systems, vol. 35, No. 10, Oct. 1988, pp. 1257-1290.
J. M. Cruz and L. O. Chua; "A CNN Chip for Connected Component Detection"; IEEE Transactions on Circuits and Systems, vol. 38, No. 7, Jul. 1991, pp. 812-817.
Leon O. Chua; "The Genesis of Chua's Circuit"; AEU, vol. 46, No. 4, 1992, pp. 250-257.
Various; 1990 IEEE International Workshop on Cellular Neural Networks and Their Applications-CNNA-90 Proceedings; Hotel Agro, Budapest, Hungary, Dec. 16-19, 1990, pp. 1-313, (IEEE 90TH0312-9).

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