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; 2.3.1.1 Engineering; 2.3.1.2 Physics; 2.3.1.3 Chemistry; 2.3.1.4 Biochemistry; 2.3.1.5 Biology
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2.3.1.6 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
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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
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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
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SUMMARY OR ABSTRACT
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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.