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VLSI for Artificial Intelligence and Neural Networks (Paperback, Softcover reprint of the original 1st ed. 1991)
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VLSI for Artificial Intelligence and Neural Networks (Paperback, Softcover reprint of the original 1st ed. 1991)
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This book is an edited selection of the papers presented at the
International Workshop on VLSI for Artifidal Intelligence and
Neural Networks which was held at the University of Oxford in
September 1990. Our thanks go to all the contributors and
especially to the programme committee for all their hard work.
Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society,
and the lEE for publicizing the event and to the University of
Oxford and SUNY-Binghamton for their active support. We are
particularly grateful to Anna Morris, Maureen Doherty and Laura
Duffy for coping with the administrative problems. Jose
Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial
intelligence and neural network algorithms/computing have increased
in complexity as well as in the number of applications. This in tum
has posed a tremendous need for a larger computational power than
can be provided by conventional scalar processors which are
oriented towards numeric and data manipulations. Due to the
artificial intelligence requirements (symbolic manipulation,
knowledge representation, non-deterministic computations and
dynamic resource allocation) and neural network computing approach
(non-programming and learning), a different set of constraints and
demands are imposed on the computer architectures for these
applications.
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