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The Use of Fixed Holograms for Massively-Interconnected, Low-Power Neural Networks
Neural Networks for Perception
◽
10.1016/b978-0-12-741252-8.50019-4
◽
1992
◽
pp. 282-309
Author(s):
HO-IN JEON
◽
JOSEPH SHAMIR
◽
R. BARRY JOHNSON
◽
H. JOHN CAULFIELD
◽
JASON KINSER
◽
...
Keyword(s):
Neural Networks
◽
Low Power
Download Full-text
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References
Neural Networks: Low‐Power Self‐Rectifying Memristive Artificial Neural Network for Near Internet‐of‐Things Sensor Computing (Adv. Electron. Mater. 6/2021)
Advanced Electronic Materials
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10.1002/aelm.202170017
◽
2021
◽
Vol 7
(6)
◽
pp. 2170017
Author(s):
Seok Choi
◽
Yong Kim
◽
Tien Van Nguyen
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Won Hee Jeong
◽
Kyeong‐Sik Min
◽
...
Keyword(s):
Neural Network
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Neural Networks
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Artificial Neural Network
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Internet Of Things
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Low Power
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Artificial Neural
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Convolutional Neural Networks-based plant disease detection implemented on low-power consumption device
10.1109/ropec53248.2021.9668160
◽
2021
◽
Author(s):
Eduardo A. Huerta Mora
◽
Victor Gonzalez-Huitron
◽
A.E. Rodriguez-Mata
◽
Hector Rodriguez Rangel
Keyword(s):
Neural Networks
◽
Power Consumption
◽
Low Power
◽
Convolutional Neural Networks
◽
Plant Disease
◽
Low Power Consumption
◽
Disease Detection
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Low power building block for artificial neural networks
Electronics Letters
◽
10.1049/el:19951138
◽
1995
◽
Vol 31
(19)
◽
pp. 1618-1619
◽
Cited By ~ 6
Author(s):
S.T. Lee
◽
K.T. Lau
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Low Power
◽
Building Block
◽
Artificial Neural
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Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors
2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)
◽
10.1109/vlsi-soc.2019.8920341
◽
2019
◽
Author(s):
Valentino Peluso
◽
Matteo Grimaldi
◽
Andrea Calimera
Keyword(s):
Neural Networks
◽
Low Power
◽
Convolutional Neural Networks
◽
Arbitrary Precision
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Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator
2020 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn48605.2020.9207281
◽
2020
◽
Author(s):
Alexander Demidovskij
◽
Eugene Smirnov
Keyword(s):
Neural Networks
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Low Power
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Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks
IEEE Access
◽
10.1109/access.2019.2953019
◽
2019
◽
Vol 7
◽
pp. 178891-178902
◽
Cited By ~ 1
Author(s):
Michal Markiewicz
◽
Maciej Wielgosz
◽
Mikolaj Bochenski
◽
Waldemar Tabaczynski
◽
Tomasz Konieczny
◽
...
Keyword(s):
Neural Networks
◽
Low Power
◽
Recurrent Neural Networks
◽
Wireless Sensors
◽
Induction Motors
◽
Predictive Maintenance
◽
Ultra Low Power
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Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse
2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
◽
10.1109/aicas48895.2020.9073877
◽
2020
◽
Author(s):
A. Laborieux
◽
M. Bocquet
◽
T. Hirtzlin
◽
J.-O. Klein
◽
L. Herrera Diez
◽
...
Keyword(s):
Neural Networks
◽
Low Power
◽
Resistive Ram
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A Mathematical Approach Towards Quantization of Floating Point Weights in Low Power Neural Networks
2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID)
◽
10.1109/vlsid49098.2020.00048
◽
2020
◽
Author(s):
Joydeep Kumar Devnath
◽
Neelam Surana
◽
Joycee Mekie
Keyword(s):
Neural Networks
◽
Low Power
◽
Floating Point
◽
Mathematical Approach
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A Configurable and Versatile Architecture for Low Power, Energy Efficient Hardware Acceleration of Convolutional Neural Networks
2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC)
◽
10.1109/norchip.2019.8906950
◽
2019
◽
Author(s):
Steinar Thune Christensen
◽
Snorre Aunet
◽
Omer Qadir
Keyword(s):
Neural Networks
◽
Low Power
◽
Convolutional Neural Networks
◽
Energy Efficient
◽
Hardware Acceleration
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Optimal Design Methods to Transform 3D NAND Flash into a High-Density, High-Bandwidth and Low-Power Nonvolatile Computing in Memory (nvCIM) Accelerator for Deep-Learning Neural Networks (DNN)
2019 IEEE International Electron Devices Meeting (IEDM)
◽
10.1109/iedm19573.2019.8993652
◽
2019
◽
Cited By ~ 6
Author(s):
Hang-Ting Lue
◽
Po-Kai Hsu
◽
Ming-Liang Wei
◽
Teng-Hao Yeh
◽
Pei-Ying Du
◽
...
Keyword(s):
Neural Networks
◽
Deep Learning
◽
Optimal Design
◽
Low Power
◽
Design Methods
◽
High Density
◽
Nand Flash
◽
High Bandwidth
Download Full-text
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