Volltext verfügbar nach Anmeldung bzw. im Campus-Netz.
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing.
In: Science, Jg. 364 (2019-05-10), Heft 6440, S. 570-574
Online
academicJournal
Zugriff:
The article discusses research on the use of scalable neuromorphic computers in relation to the parallel programming of ionic floating-gate (IFG) memory arrays. Topics include the role of conductive-bridge memory (CBM), the use of artificial neural network (ANN) learning, and complementary metal oxide semiconductor (CMOS). The use of a redox transistor array is noted.
Titel: |
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing.
|
---|---|
Autor/in / Beteiligte Person: | Fuller, Elliot J. ; Keene, Scott T. ; Melianas, Armantas ; Wang, Zhongrui ; Agarwal, Sapan ; Li, Yiyang ; Tuchman, Yaakov ; James, Conrad D. ; Marinella, Matthew J. ; Yang, J. Joshua ; Salleo, Alberto ; Talin, A. Alec |
Link: | |
Zeitschrift: | Science, Jg. 364 (2019-05-10), Heft 6440, S. 570-574 |
Veröffentlichung: | 2019 |
Medientyp: | academicJournal |
ISSN: | 0036-8075 (print) |
DOI: | 10.1126/science.aaw5581 |
Schlagwort: |
|
Sonstiges: |
|