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An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.

T. Xiao, B. Feinberg, C. Bennett, V. Agrawal, P. Saxena, V. Prabhakar, K. Ramkumar, H. Medu, V. Raghavan, R. Chettuvetty, S. Agarwal, and M. Marinella. IEEE Trans. Circuits Syst. I Regul. Pap., 69 (4): 1480-1493 (2022)

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Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron.W. Brigner, N. Hassan, L. Jiang-Wei, X. Hu, D. Saha, C. Bennett, M. Marinella, J. Incorvia, F. García-Sánchez, and J. Friedman. CoRR, (2019)Local learning with highly analog memory devices. (Apprentissage local avec des dispositifs de mémoire hautement analogiques).C. Bennett. University of Paris-Saclay, France, (2018)Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.C. Bennett, V. Parmar, L. Calvet, J. Klein, M. Suri, M. Marinella, and D. Querlioz. IEEE Access, (2019)Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation.S. Liu, C. Bennett, J. Friedman, M. Marinella, D. Paydarfar, and J. Incorvia. CoRR, (2021)Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor.C. Bennett, J. Lorival, F. Marc, T. Cabaret, B. Jousselme, V. Derycke, J. Klein, and C. Maneux. IEEE Trans. Multi Scale Comput. Syst., 4 (4): 822-832 (2018)Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing.T. Leonard, S. Liu, M. Alamdar, C. Cui, O. Akinola, L. Xue, T. Xiao, J. Friedman, M. Marinella, C. Bennett and 1 other author(s). CoRR, (2021)Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing.C. Cui, O. Akinola, N. Hassan, C. Bennett, M. Marinella, J. Friedman, and J. Incorvia. ISCAS, page 316-320. IEEE, (2022)Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture.A. Velasquez, C. Bennett, N. Hassan, W. Brigner, O. Akinola, J. Incorvia, M. Marinella, and J. Friedman. CoRR, (2020)An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.T. Xiao, B. Feinberg, C. Bennett, V. Agrawal, P. Saxena, V. Prabhakar, K. Ramkumar, H. Medu, V. Raghavan, R. Chettuvetty and 2 other author(s). IEEE Trans. Circuits Syst. I Regul. Pap., 69 (4): 1480-1493 (2022)Magnetic skyrmions and domain walls for logical and neuromorphic computing.X. Hu, C. Cui, S. Liu, F. García-Sánchez, W. Brigner, B. Walker, A. Edwards, T. Xiao, C. Bennett, N. Hassan and 3 other author(s). Neuromorph. Comput. Eng., 3 (2): 22003 (June 2023)

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Disambiguation of "Bennett, Christopher H."

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An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.

Please choose a person to relate this publication to

Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bennett, Christopher H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.

Please choose a person to relate this publication to

Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.