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VLSI for Artificial Intelligence

Overview of attention for book
Cover of 'VLSI for Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 From Low Level Semantic Description of Prolog to Instruction Set and VLSI Design
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    Chapter 2 A 32 Bit Processor for Compiled Prolog
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    Chapter 3 Carmel-1: A VLSI Architecture for Flat Concurrent Prolog
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    Chapter 4 VLSI for Parallel Execution of Prolog
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    Chapter 5 Supporting Functional and Logic Programming Languages through a Data Parallel VLSI Architecture
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    Chapter 6 Translating Declaratively Specified Knowledge and Usage Requirements into a Reconfigurable Machine
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    Chapter 7 VLSI-Appropriate Garbage Collection Support
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    Chapter 8 A Self-Timed Circuit for a Prolog Machine
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    Chapter 9 VLSI and Rule-Based Systems
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    Chapter 10 Unify with Active Memory
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    Chapter 11 The Pattern Addressable Memory: Hardware for Associative Processing
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    Chapter 12 A High Performance Relational Algebraic Processor for Large Knowledge Bases
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    Chapter 13 A WSI Semantic Network Architecture
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    Chapter 14 A VLSI Implementation of Multilayered Neural Networks
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    Chapter 15 A Fully Digital Integrated CMOS Hopfield Network Including the Learning Algorithm
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    Chapter 16 A Neural Network for 3-D VLSI Accelerator
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    Chapter 17 Shift Invariant Associative Memory
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    Chapter 18 VLSI Bit-Serial Neural Networks
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    Chapter 19 A New CMOS Architecture for Neural Networks
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    Chapter 20 A Limited-Interconnect, Highly Layered Synthetic Neural Architecture
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    Chapter 21 VLSI-Design of Associative Networks
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    Chapter 22 Fully-Programmable Analogue VLSI Devices for the Implementation of Neural Networks
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    Chapter 23 Are Special Chips Necessary for Neural Computing?
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    Chapter 24 A VLSI Systolic Array Dedicated to Hopfield Neural Network
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    Chapter 25 An Integrated System for Neural Network Simulations
Overall attention for this book and its chapters
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Title
VLSI for Artificial Intelligence
Published by
The Springer International Series in Engineering and Computer Science, January 1989
DOI 10.1007/978-1-4613-1619-0
ISBNs
978-1-4612-8895-4, 978-1-4613-1619-0, 978-0-7923-9000-8
Editors

Jose G. Delgado-Frias, Will Moore

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 January 2017.
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#23,324,704
of 25,992,468 outputs
Outputs from The Springer International Series in Engineering and Computer Science
#1
of 1 outputs
Outputs of similar age
#53,150
of 53,876 outputs
Outputs of similar age from The Springer International Series in Engineering and Computer Science
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them