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Memristors -- from In-memory computing, Deep Learning Acceleration,
  Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
  Computing

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

30 April 2020
A. Mehonic
Abu Sebastian
Bipin Rajendran
Osvaldo Simeone
Eleni Vasilaki
A. Kenyon
ArXivPDFHTML

Papers citing "Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing"

12 / 12 papers shown
Title
The Inherent Adversarial Robustness of Analog In-Memory Computing
The Inherent Adversarial Robustness of Analog In-Memory Computing
Corey Lammie
Julian Büchel
A. Vasilopoulos
Manuel Le Gallo
Abu Sebastian
AAML
49
0
0
11 Nov 2024
A Survey on Offensive AI Within Cybersecurity
A Survey on Offensive AI Within Cybersecurity
Sahil Girhepuje
Aviral Verma
Gaurav Raina
AAML
25
2
0
26 Sep 2024
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via
  Ensembles of Spiking Neural Networks
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
32
4
0
25 Oct 2023
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
33
17
0
29 Aug 2022
On-device Synaptic Memory Consolidation using Fowler-Nordheim
  Quantum-tunneling
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
Mustafizur Rahman
Subhankar Bose
S. Chakrabartty
24
3
0
27 Jun 2022
Wearable uBrain: Fabric Based-Spiking Neural Network
Wearable uBrain: Fabric Based-Spiking Neural Network
Frances Cleary
W. Srisa-an
Beatriz Gil
Jaideep C. Kesavan
T. Engel
D. Henshall
Sasitharan Balasubramaniam
25
2
0
25 Feb 2022
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene
  Memristive Synapses
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses
Shubham Pande
Karthik Srinivasan
S. Balanethiram
B. Chakrabarti
A. Chakravorty
13
0
0
30 Nov 2021
Quantifying the Computational Capability of a Nanomagnetic Reservoir
  Computing Platform with Emergent Magnetization Dynamics
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics
Ian T. Vidamour
Matthew O. A. Ellis
David Griffin
G. Venkat
C. Swindells
...
S. Dhesi
Susan Stepney
Eleni Vasilaki
D. Allwood
T. Hayward
12
14
0
29 Nov 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
34
33
0
02 Jun 2021
Brain-inspired computing: We need a master plan
Brain-inspired computing: We need a master plan
A. Mehonic
A. Kenyon
22
350
0
29 Apr 2021
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Corey Lammie
Jason Eshraghian
Wei D. Lu
M. R. Azghadi
BDL
15
21
0
11 Mar 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian
  Learning
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
37
17
0
15 Dec 2020
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