Title :
Analog VLSI hardware: what is missing for industrial realisations?
Author :
Arreguit, X. ; Vittoz, E.A.
Author_Institution :
CSEM SA, Neuchatel, Switzerland
fDate :
27 Jun-2 Jul 1994
Abstract :
Although several papers have shown the potential of analog VLSI to build artificial neural networks or perceptive systems inspired from biology that are orders of magnitude more effective to solve specific problems than previous solutions, it seems that industrial realisations are not emerging as fast. This presentation addresses some open questions and issues that still need to be answered in order to meet the requirements for successful industrial realisations and reviews some efficient solutions in terms of area and power consumption
Keywords :
analogue processing circuits; neural chips; analog VLSI hardware; artificial neural networks; industrial realisations; perceptive systems; Analog circuits; Analog computers; Circuit testing; Energy consumption; Hardware; Optical sensors; Silicon; System testing; Systems biology; Very large scale integration;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374445
