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1 Ergebnisse
1
Challenges in Building Deployable Machine Learning Solution..:
, In:
2022 IEEE Women in Technology Conference (WINTECHCON)
,
Kapoor, Shristy
;
Agarwal, Payal
;
Kostas, Lindsey
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/WINTECHCON55229.2022.9832287
RT T1
2022 IEEE Women in Technology Conference (WINTECHCON)
: T1
Challenges in Building Deployable Machine Learning Solutions for SoC Design
UL https://suche.suub.uni-bremen.de/peid=ieee-9832287&Exemplar=1&LAN=DE A1 Kapoor, Shristy A1 Agarwal, Payal A1 Kostas, Lindsey YR 2022 K1 Semiconductor device modeling K1 Technological innovation K1 Machine learning algorithms K1 Design automation K1 Moore's Law K1 Memory management K1 Electronics industry K1 machine learning K1 SoC design K1 VLSI SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/WINTECHCON55229.2022.9832287 DO https://doi.org/10.1109/WINTECHCON55229.2022.9832287 SF ELIB - SuUB Bremen
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