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1
Dependability of Alternative Computing Paradigms for Machin..:
, In:
2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
,
Bolchini, Cristiana
;
Bosio, Alberto
;
Cassano, Luca
... - p. 7-13 , 2022
Link:
https://doi.org/10.1109/DDECS54261.2022.9770138
RT T1 <cTitle>2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)</cTitle>: T1 <Title>Dependability of Alternative Computing Paradigms for Machine Learning: hype or hope?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9770138&Exemplar=1&LAN=DE A1 Bolchini, Cristiana A1 Bosio, Alberto A1 Cassano, Luca A1 Deveautour, Bastien A1 Natale, Giorgio Di A1 Miele, Antonio A1 O'Connor, Ian A1 Vatajelu, Ioana YR 2022 SN 2473-2117 K1 Performance evaluation K1 Costs K1 Memory management K1 Machine learning K1 Complexity theory K1 Convolutional neural networks K1 Task analysis K1 Machine Learning (ML) K1 ML-specific HW Architectures K1 Neuromorphic Computing K1 ML Dependability SP 7 OP 13 LK http://dx.doi.org/https://doi.org/10.1109/DDECS54261.2022.9770138 DO https://doi.org/10.1109/DDECS54261.2022.9770138 SF ELIB - SuUB Bremen
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