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1 Ergebnisse
1
ML for Analog Design: Good Progress, But More to Do:
, In:
2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)
,
Nikolic, Borivoje
- p. 53-54 , 2022
Link:
https://doi.org/10.1109/MLCAD55463.2022.9900080
RT T1 <cTitle>2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)</cTitle>: T1 <Title>ML for Analog Design: Good Progress, But More to Do</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9900080&Exemplar=1&LAN=DE A1 Nikolic, Borivoje YR 2022 K1 Layout K1 Generators K1 Very large scale integration K1 Topology K1 Reinforcement learning K1 Electrical engineering K1 Design automation K1 • Hardware - Very large scale integration design - Analog and mixed-signal circuits; • Hardware - Very large scale integration design - Analog and mixed-signal circuit synthesis; • Computing methodologies - Machine learning - Learning paradigms - Reinforcement learning SP 53 OP 54 LK http://dx.doi.org/https://doi.org/10.1109/MLCAD55463.2022.9900080 DO https://doi.org/10.1109/MLCAD55463.2022.9900080 SF ELIB - SuUB Bremen
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