Stochastic domain wall-magnetic tunnel junction artificial neurons for noise-resilient spiking neural networks
The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) makes
SNNs promising for edge applications that require high energy efficiency. To realize SNNs …
SNNs promising for edge applications that require high energy efficiency. To realize SNNs …
Hopfield vs Ising: A Comparison on the SoC FPAA
PO Mathews, JO Hasler - … on Circuits and Systems I: Regular …, 2024 - ieeexplore.ieee.org
Physical computing techniques can efficiently solve combinatorial optimization problems
and could outperform conventional digital techniques. This paper presents the first direct …
and could outperform conventional digital techniques. This paper presents the first direct …
A Programmable and Reconfigurable CMOS Analog Hopfield Network for NP-Hard Problems
PO Mathews, JO Hasler - … on Very Large Scale Integration (VLSI …, 2024 - ieeexplore.ieee.org
Analog Hopfield networks perform continuous energy minimization, leading to efficient and
near-optimal solutions to nonpolynomial (NP)-hard problems. However, practical …
near-optimal solutions to nonpolynomial (NP)-hard problems. However, practical …
PLEASE CITE THIS ARTICLE AS DOI: 10.1063/5.0152211
T Leonard, S Liu, H Jin, JAC Incorvia - pubs.aip.org
approach is to integrate MTJ readout with DW spin textures to represent the neuron state.
These DW-MTJ devices offer a highly tunable way to emulate many neuromorphic …
These DW-MTJ devices offer a highly tunable way to emulate many neuromorphic …