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Jack Kendall
Jack Kendall
Rain Neuromorphics
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Title
Cited by
Cited by
Year
The building blocks of a brain-inspired computer
JD Kendall, S Kumar
Applied Physics Reviews 7 (1), 011305, 2020
1272020
Training end-to-end analog neural networks with equilibrium propagation
J Kendall, R Pantone, K Manickavasagam, Y Bengio, B Scellier
arXiv preprint arXiv:2006.01981, 2020
482020
Memristive nanofiber neural networks
JC Nino, J Kendall
US Patent 10,198,691, 2019
222019
Memristive nanowires exhibit small-world connectivity
RD Pantone, JD Kendall, JC Nino
Neural Networks 106, 144-151, 2018
172018
Systems and methods for efficient matrix multiplication
J Kendall
US Patent 10,430,493, 2019
132019
Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing
LE Suarez, JD Kendall, JC Nino
Neural Networks 106, 223-236, 2018
102018
Activity-difference training of deep neural networks using memristor crossbars
S Yi, JD Kendall, RS Williams, S Kumar
Nature Electronics 6 (1), 45-51, 2023
42023
A gradient estimator for time-varying electrical networks with non-linear dissipation
J Kendall
arXiv preprint arXiv:2103.05636, 2021
32021
Deep learning in memristive nanowire networks
JD Kendall, RD Pantone, JC Nino
arXiv preprint arXiv:2003.02642, 2020
32020
Simplified sol-gel processing method for amorphous TiOx Memristors
E Nassar Moreira, J Kendall, H Maruyama, JC Nino
Journal of Electroceramics 44 (1-2), 52-58, 2020
22020
Learning algorithms for oscillatory memristive neuromorphic circuits
JD Kendall, JC Nino
US Patent App. 16/345,551, 2019
22019
Memristive nanofiber neural networks
JC Nino, J Kendall
US Patent App. 17/342,096, 2021
12021
Publisher's Note: “The building blocks of a brain-inspired computer” [Appl. Phys. Rev. 7, 011305 (2020)]
JD Kendall, S Kumar
Applied Physics Reviews 7 (2), 029901, 2020
12020
Deep learning in bipartite memristive networks
JD Kendall, JC Nino, LE Suarez
US Patent App. 15/985,212, 2018
12018
ELECTRICAL NETWORKS USING ANALYTIC LOSS GRADIENTS FOR DESIGN, ANALYSIS AND MACHINE LEARNING
JD Kendall
US Patent App. 17/875,223, 2023
2023
Memristive device
JD Kendall, S Kumar, N Gaur
US Patent App. 17/889,276, 2023
2023
Learning in time varying, dissipative electrical networks
JD Kendall
US Patent 11,551,091, 2023
2023
Scalable In-Memory Computing Architectures for Sparse Matrix Multiplication
JD Kendall, AA Conklin, R Pantone, JC Nino, S Kumar
2022 International Electron Devices Meeting (IEDM), 21.6. 1-21.6. 4, 2022
2022
Memristive device
JD Kendall, S Kumar, N Gaur
US Patent 11,450,712, 2022
2022
Memristive learning for neuromorphic circuits
JD Kendall, JC Nino
US Patent 11,341,408, 2022
2022
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