Smart Adaptive Systems on Silicon

  • Maurizio Valle

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Silicon Technology

    1. Front Matter
      Pages 1-1
    2. Michele Taliercio
      Pages 3-16
    3. Peter Zipf, Manfred Glesner
      Pages 17-32
    4. Pierluigi Civera
      Pages 33-47
    5. Denis Flandre
      Pages 49-64
  3. Perception Systems on Silicon

    1. Front Matter
      Pages 65-65
    2. Giacomo Indiveri
      Pages 67-84
    3. Ricardo Carmona, Ángel Rodríguez-Vázquez, Rafael Domínguez-Castro, Servando Espejo
      Pages 85-101
    4. G. Liñán-Cembrano, L. Carranza, S. Espejo, R. Domínguez-Castro, A. Rodríguez-Vázquez
      Pages 103-118
    5. Giacomo M. Bisio, Silvio P. Sabatini, Fabio Solari
      Pages 119-136
  4. Cognitive Systems on Silicon

    1. Front Matter
      Pages 137-137
    2. Carlos Dualibe, Michel Verleysen
      Pages 157-174
    3. H. Chen, P. Fleury, A. F. Murray
      Pages 175-191
    4. D. Keymeulen, R. Zebulum, A. Stoica, M. I. Ferguson
      Pages 193-208
    5. Steffen Hohmann, Johannes Schemmel, Tillmann Schmitz
      Pages 209-226
  5. Systems on Silicon

    1. Front Matter
      Pages 227-227
    2. T. Serrano-Gotarredona, R. Serrano-Gotarredona, B. Linares-Barranco
      Pages 229-251
    3. Philippe Basset, Lionel Buchaillot, Andreas Kaiser
      Pages 253-268

About this book

Introduction

Intelligent/smart systems have become common practice in many engineering applications. On the other hand, current low cost standard CMOS technology (and future foreseeable developments) makes available enormous potentialities. The next breakthrough will be the design and development of "smart adaptive systems on silicon" i.e. very power and highly size efficient complete systems (i.e. sensing, computing and "actuating" actions) with intelligence on board on a single silicon die. Smart adaptive systems on silicon will be able to "adapt" autonomously to the changing environment and will be able to implement "intelligent" behaviour and both perceptual and cognitive tasks. At last, they will communicate through wireless channels, they will be battery supplied or remote powered (via inductive coupling) and they will be ubiquitous in our every day life.

Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. Smart Adaptive Systems on Silicon, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues.

Smart Adaptive Systems on Silicon mainly focuses on the analog and mixed mode implementation on silicon because this approach is amenable of achieving impressive energy and size efficiency. Moreover, analog systems can be more easily interfaced with sensing and actuating devices.

Keywords

CMOS Potential Signal Standard Transducer VLSI analog bridge development fuzzy logic logic microsystems network neural networks

Editors and affiliations

  • Maurizio Valle
    • 1
  1. 1.University of GenovaGenovaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-2782-6
  • Copyright Information Springer-Verlag US 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-1051-9
  • Online ISBN 978-1-4020-2782-6
  • About this book