Title :
CNN universal chips crank up the computing power
Author :
Chua, L.O. ; Roska, T. ; Kozek, T. ; Zarándy, A.
Author_Institution :
Electron. Res. Lab., California Univ., Berkeley, CA, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
New cellular neural network chips, with stored-program capability and analog-and-logic architecture, are poised to challenge all-digital processing. In this article, we highlight the key ideas leading to the CNN Universal Machine, using simple circuit interpretations. We also illustrate the system, software, and application aspects
Keywords :
cellular neural nets; neural chips; CNN universal machine; analog-and-logic architecture; cellular neural network chip; computing power; stored-program capability; CMOS logic circuits; Cellular neural networks; Integrated circuit interconnections; Karhunen-Loeve transforms; Logic arrays; Logic design; Microprocessors; Semiconductor device modeling; Solid modeling; Voltage control;
Journal_Title :
Circuits and Devices Magazine, IEEE
