Linked e-resources
Details
Table of 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; 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
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
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
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
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