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Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse

Project: NANOINFER

Updated at: 27-04-2024

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In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications

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Updated at: 27-04-2024

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Memory-Centric Neuromorphic Computing With Nanodevices

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Updated at: 27-04-2024

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CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks

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Updated at: 27-04-2024

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A memristor-based Bayesian machine

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Updated at: 27-04-2024

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Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input

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Updated at: 27-04-2024

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10.1109/IEDM19573.2019.8993555

Project: NANOINFER

Updated at: 27-04-2024

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Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction

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Updated at: 27-04-2024

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Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Mem...

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Updated at: 27-04-2024

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Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions

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Updated at: 27-04-2024

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Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

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Updated at: 27-04-2024

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In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks

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Updated at: 27-04-2024

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Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks

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Updated at: 27-04-2024

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Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks

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Updated at: 27-04-2024

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Stochastic Computing for Hardware Implementation of Binarized Neural Networks

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Updated at: 27-04-2024

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Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks

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Updated at: 27-04-2024

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Neural-like computing with populations of superparamagnetic basis functions

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Updated at: 27-04-2024

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Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines

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Updated at: 27-04-2024

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Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges

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Updated at: 27-04-2024

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Spintronics for neuromorphic computing

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Updated at: 27-04-2024

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Embracing the Unreliability of Memory Devices for Neuromorphic Computing

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Updated at: 27-04-2024

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks

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Updated at: 27-04-2024

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Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse

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Updated at: 27-04-2024

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Characterization and modeling of spiking and bursting in experimental NbO<sub> x </sub> neuron

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Updated at: 27-04-2024

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Embracing the Unreliability of Memory Devices for Neuromorphic Computing

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Updated at: 27-04-2024

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Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware

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Updated at: 27-04-2024

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Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

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Updated at: 27-04-2024

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Synaptic metaplasticity in binarized neural networks

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Updated at: 27-04-2024

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Hybrid Analog-Digital Learning with Differential RRAM Synapses

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Updated at: 27-04-2024

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Physics for Neuromorphic Computing

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Updated at: 27-04-2024

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Resources

Selected filters:

Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse

In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications

Memory-Centric Neuromorphic Computing With Nanodevices

CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks

A memristor-based Bayesian machine

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input

10.1109/IEDM19573.2019.8993555

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Mem...

Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions

Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks

Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks

Stochastic Computing for Hardware Implementation of Binarized Neural Networks

Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks

Neural-like computing with populations of superparamagnetic basis functions

Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines

Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges

Spintronics for neuromorphic computing

Embracing the Unreliability of Memory Devices for Neuromorphic Computing

Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks

Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse

Characterization and modeling of spiking and bursting in experimental NbO<sub> x </sub> neuron

Embracing the Unreliability of Memory Devices for Neuromorphic Computing

Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Synaptic metaplasticity in binarized neural networks

Hybrid Analog-Digital Learning with Differential RRAM Synapses

Physics for Neuromorphic Computing