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11/22/2021
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing
In neuromorphic computing, artificial synapses provide a multi-weight co...
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09/03/2021
On the Accuracy of Analog Neural Network Inference Accelerators
Specialized accelerators have recently garnered attention as a method to...
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07/05/2021
High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network
Neuromorphic computing systems overcome the limitations of traditional v...
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01/08/2021
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation
Neuromorphic computing with spintronic devices has been of interest due ...
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11/11/2020
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
Complementary metal oxide semiconductor (CMOS) devices display volatile ...
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04/02/2020
Device-aware inference operations in SONOS nonvolatile memory arrays
Non-volatile memory arrays can deploy pre-trained neural network models ...
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03/24/2020
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
We propose a hardware learning rule for unsupervised clustering within a...
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03/04/2020
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning
Machine learning implements backpropagation via abundant training sample...
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02/25/2020
Evaluating complexity and resilience trade-offs in emerging memory inference machines
Neuromorphic-style inference only works well if limited hardware resourc...
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02/03/2020
CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device
Neuromorphic computing promises revolutionary improvements over conventi...
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09/12/2017
Spatio-temporal Learning with Arrays of Analog Nanosynapses
Emerging nanodevices such as resistive memories are being considered for...
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06/27/2016
