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Machine Learning Without a Processor: Emergent Learning in a Nonlinear
  Electronic Metamaterial

Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial

1 November 2023
Sam Dillavou
Benjamin D Beyer
M. Stern
Andrea J. Liu
Marc Z Miskin
D. Durian
ArXivPDFHTML

Papers citing "Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial"

4 / 4 papers shown
Title
Quantum Equilibrium Propagation for efficient training of quantum
  systems based on Onsager reciprocity
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
C. C. Wanjura
Florian Marquardt
47
1
0
10 Jun 2024
Training of Physical Neural Networks
Training of Physical Neural Networks
Ali Momeni
Babak Rahmani
B. Scellier
Logan G. Wright
Peter L. McMahon
...
Julie Grollier
Andrea J. Liu
D. Psaltis
Andrea Alù
Romain Fleury
PINN
AI4CE
51
9
0
05 Jun 2024
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum
  Systems
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
Benjamin Scellier
30
1
0
02 Jun 2024
Deep physical neural networks enabled by a backpropagation algorithm for
  arbitrary physical systems
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
PINN
AI4CE
40
469
0
27 Apr 2021
1