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A Low-Power RRAM Memory Block for Embedded, Multi-Level Weight and Bias Storage in Artificial Neural Networks

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006558
URN to cite this document: urn:nbn:de:bvb:703-epub-6558-0

Title data

Pechmann, Stefan ; Mai, Timo ; Potschka, Julian ; Reiser, Daniel ; Reichel, Peter ; Breiling, Marco ; Reichenbach, Marc ; Hagelauer, Amelie:
A Low-Power RRAM Memory Block for Embedded, Multi-Level Weight and Bias Storage in Artificial Neural Networks.
In: Micromachines. Vol. 12 (2021) Issue 11 . - No. 1277.
ISSN 2072-666X
DOI der Verlagsversion: https://doi.org/10.3390/mi12111277

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Project title:	Project's official title Project's id Open Access Publizieren No information

Further data

Item Type:	Article in a journal
Keywords:	ANN; low-power; embedded memory; memory block; multi-level; RR
DDC Subjects:	600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University:	Faculties > Faculty of Engineering Science > Chair Communication Electronics Faculties Faculties > Faculty of Engineering Science
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-6558-0
Date Deposited:	26 Jul 2022 10:09
Last Modified:	26 Jul 2022 10:09
URI:	https://epub.uni-bayreuth.de/id/eprint/6558

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