By Howard C. Card (auth.), José G. Delgado-Frias, William R. Moore (eds.)

Neural community and synthetic intelligence algorithrns and computing have elevated not just in complexity but in addition within the variety of functions. This in flip has posed a huge want for a bigger computational strength that traditional scalar processors will not be in a position to bring successfully. those processors are orientated in the direction of numeric and knowledge manipulations. as a result of neurocomputing standards (such as non-programming and studying) and the factitious intelligence specifications (such as symbolic manipulation and data illustration) a unique set of constraints and calls for are imposed at the desktop architectures/organizations for those purposes. study and improvement of recent machine architectures and VLSI circuits for neural networks and synthetic intelligence were elevated so as to meet the recent functionality requisites. This e-book provides novel techniques and developments on VLSI implementations of machines for those purposes. Papers were drawn from a few examine groups; the topics span analog and electronic VLSI layout, desktop layout, machine architectures, neurocomputing and synthetic intelligence recommendations. This ebook has been geared up into 4 topic parts that hide the 2 significant different types of this ebook; the components are: analog circuits for neural networks, electronic implementations of neural networks, neural networks on multiprocessor platforms and functions, and VLSI machines for synthetic intelligence. the subjects which are lined in each one region are in brief brought below.