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1 Ergebnisse
1
A Charge-Trap-Transistor-Based Fully Analog Machine Learnin..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Rezazadeh, Navid
;
Gosson, John
;
Levinson, Roger
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10558145
RT T1
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
: T1
A Charge-Trap-Transistor-Based Fully Analog Machine Learning Inference Engine for Audio Keyword Spotting
UL https://suche.suub.uni-bremen.de/peid=ieee-10558145&Exemplar=1&LAN=DE A1 Rezazadeh, Navid A1 Gosson, John A1 Levinson, Roger A1 Sahni, Paramjeet A1 Bury, Mark A1 Diaz, Juan A1 Chan, Shufan A1 Boyer, Eve A1 Mathur, Niraj A1 Taheri, Hamid YR 2024 SN 2158-1525 K1 Semiconductor device measurement K1 Recurrent neural networks K1 Neuromorphics K1 Machine learning K1 Programming K1 Silicon K1 Robustness K1 neuromorphic K1 analog compute K1 charge trap transistor K1 recursive neural network K1 keyword spotting SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10558145 DO https://doi.org/10.1109/ISCAS58744.2024.10558145 SF ELIB - SuUB Bremen
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