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Title Computational matter / Susan Stepney, Steen Rasmussen, Martyn Amos, editors.

Published Cham, Switzerland : Springer, [2018]


Location Call No. Status
Physical description 1 online resource.
Series Natural computing series, 1619-7127
Natural computing series.
Springer Computer Science eBooks 2018 English+International
Bibliography Includes bibliographical references.
Contents Intro; Contents; List of Contributors; Chapter 1 Introduction; 1.1 Historical background; 1.2 Scope and content of the book; 1.2.1 Roadmap: Mapping the UCOMP territory; 1.2.2 Delving into UCOMP concepts; Acknowledgements; References; Part I Mapping the UCOMP Territory; Chapter 2 UCOMP Roadmap: Survey, Challenges, Recommendations; 2.1 The EU TRUCE project roadmap; 2.2 An atlas, not a roadmap; 2.3 Hardware-UCOMP and software-UCOMP; 2.3.1 hw-UCOMP: unconventional substrates; Engineering; Physics; Chemistry; Biochemistry; Biology Hybrid systems that combine/compose more than one substrate2.3.1.7 Other; 2.3.2 sw-UCOMP: unconventional models; 2.3.3 Full UCOMP: unconventional models in unconventional substrates; 2.3.4 Simulating UCOMP; 2.4 Eight aspects of UCOMP; 2.4.1 Speed; 2.4.2 Resource; 2.4.3 Quality; 2.4.4 Embeddedness; 2.4.5 Programmability; 2.4.6 Formalism; 2.4.7 Applications; 2.4.8 Philosophy; 2.5 Challenges in UCOMP; 2.5.1 Hardware: design and manufacture; 2.5.2 Software: theory and programming; 2.5.3 Use: applications and deployment; 2.5.4 Summary of challenges; 2.6 Next Steps; 2.7 Recommendations
4.2 Overview4.2.1 Non-linear optical molecular response; 4.2.2 Logic implementations; 4.3 Contribution to UCOMP aspects; 4.3.1 Speed; 4.3.2 Resources; 4.3.3 Quality; 4.3.4 Embeddedness; 4.3.5 Formalism; 4.3.6 Programming; 4.3.7 Applications; 4.3.8 Philosophy; 4.4 Main achievements so far; 4.5 What could be achieved in ten years; 4.6 Current challenges; References; Chapter 5 Bioinspired Computing with Synaptic Elements; 5.1 Overview; 5.2 Information processing with memristor networks; 5.2.1 Stateful logic; 5.2.2 Neuromorphic networks; 5.2.3 Spiking neuromorphic networks
5.2.4 Reservoir computing5.2.5 On the computational power of memristor-based synaptic networks; 5.3 Contribution to UCOMP aspects; 5.3.1 Stateful logic; 5.3.2 Neuromorphic spiking networks; 5.4 Main achievements so far; 5.4.1 Synapses in software; 5.4.2 Synapses in CMOS hardware; 5.4.3 Synapses in memristor hardware; 5.4.4 Memristor/CMOS hybrids; 5.4.5 Self-assembled memristor networks; 5.4.6 Commercial memristor-based computing efforts; 5.4.7 Quantum networks; 5.5 What could be achieved in ten years?; 5.5.1 Scalable solid-state technologies; 5.5.2 Solid-state-organic technologies
Summary This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials.It offers an overview of the field, covering four main areas of interest:theory, practice, applicationsandimplications. Each chaptersynthesizescurrent understanding by deliberately bringing together researchers across a collection of related research projects.The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.
Other author Stepney, Susan, editor.
Rasmussen, Steen, editor.
Amos, Martyn, editor.
SpringerLink issuing body.
Subject Electronic data processing.
Soft computing.
Natural computation -- Congresses.
Electronic books.
Electronic books.
Conference papers and proceedings.
ISBN 9783319658261 (electronic bk.)
3319658263 (electronic bk.)
Standard Number 10.1007/978-3-319-65826-1