By Jean-Luc Bechennec, Christophe Chanussot, Vincent Neri, Daniel Etiemble (auth.), José G. Delgado-Frias, William R. Moore (eds.)
This e-book is an edited choice of the papers awarded on the overseas Workshop on VLSI for Artifidal Intelligence and Neural Networks which was once held on the college of Oxford in September 1990. Our thank you visit all of the individuals and particularly to the programme committee for all their exertions. thank you also are as a result of the ACM-SIGARCH, the IEEE desktop Society, and the lEE for publicizing the development and to the college of Oxford and SUNY-Binghamton for his or her energetic help. we're quite thankful to Anna Morris, Maureen Doherty and Laura Duffy for dealing with the executive difficulties. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE synthetic intelligence and neural community algorithms/computing have elevated in complexity in addition to within the variety of purposes. This in tum has posed a major want for a bigger computational strength than should be supplied by way of traditional scalar processors that are orientated in the direction of numeric and information manipulations. a result of synthetic intelligence necessities (symbolic manipulation, wisdom illustration, non-deterministic computations and dynamic source allocation) and neural community computing procedure (non-programming and learning), a distinct set of constraints and calls for are imposed at the desktop architectures for those applications.
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