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Realization and training of an inverter-based printed neuromorphic computing system

Weller, Dennis D. 1; Hefenbrock, Michael 2; Beigl, Michael 2; Aghassi-Hagmann, Jasmin ORCID iD icon 1; Tahoori, Mehdi B. 2
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:
Emerging applications in soft robotics, wearables, smart consumer products or IoT-devices benefit from soft materials, flexible substrates in conjunction with electronic functionality. Due to high production costs and conformity restrictions, rigid silicon technologies do not meet application requirements in these new domains. However, whenever signal processing becomes too comprehensive, silicon technology must be used for the high-performance computing unit. At the same time, designing everything in flexible or printed electronics using conventional digital logic is not feasible yet due to the limitations of printed technologies in terms of performance, power and integration density. We propose to rather use the strengths of neuromorphic computing architectures consisting in their homogeneous topologies, few building blocks and analog signal processing to be mapped to an inkjet-printed hardware architecture. It has remained a challenge to demonstrate non-linear elements besides weighted aggregation. We demonstrate in this work printed hardware building blocks such as inverter-based comprehensive weight representation and resistive crossbars as well as printed transistor-based activation functions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000133164
Veröffentlicht am 27.05.2021
Originalveröffentlichung
DOI: 10.1038/s41598-021-88396-0
Scopus
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Institut für Telematik (TM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000133164
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in Scientific Reports
Verlag Nature Research
Band 11
Heft 1
Seiten 9554
Nachgewiesen in Web of Science
Scopus
Dimensions
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