[HTML][HTML] 4K-memristor analog-grade passive crossbar circuit
The superior density of passive analog-grade memristive crossbar circuits enables storing
large neural network models directly on specialized neuromorphic chips to avoid costly off …
large neural network models directly on specialized neuromorphic chips to avoid costly off …
[HTML][HTML] Brownian reservoir computing realized using geometrically confined skyrmion dynamics
K Raab, MA Brems, G Beneke, T Dohi, J Rothörl… - Nature …, 2022 - nature.com
Reservoir computing (RC) has been considered as one of the key computational principles
beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures …
beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures …
Pathways to efficient neuromorphic computing with non-volatile memory technologies
Historically, memory technologies have been evaluated based on their storage density, cost,
and latencies. Beyond these metrics, the need to enable smarter and intelligent computing …
and latencies. Beyond these metrics, the need to enable smarter and intelligent computing …
[HTML][HTML] Complex free-space magnetic field textures induced by three-dimensional magnetic nanostructures
The design of complex, competing effects in magnetic systems—be it via the introduction of
nonlinear interactions,,–, or the patterning of three-dimensional geometries,—is an …
nonlinear interactions,,–, or the patterning of three-dimensional geometries,—is an …
[HTML][HTML] Adaptive extreme edge computing for wearable devices
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …
society and economy. Due to the widespread of sensors in pervasive and distributed …
Two-dimensional mutually synchronized spin Hall nano-oscillator arrays for neuromorphic computing
M Zahedinejad, AA Awad, S Muralidhar… - Nature …, 2020 - nature.com
In spin Hall nano-oscillators (SHNOs), pure spin currents drive local regions of magnetic
films and nanostructures into auto-oscillating precession. If such regions are placed in close …
films and nanostructures into auto-oscillating precession. If such regions are placed in close …
An LSTM short-term solar irradiance forecasting under complicated weather conditions
Y Yu, J Cao, J Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Complicated weather conditions lead to intermittent, random and volatility in photovoltaic
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
Memristive control of mutual spin Hall nano-oscillator synchronization for neuromorphic computing
Synchronization of large spin Hall nano-oscillator (SHNO) arrays is an appealing approach
toward ultrafast non-conventional computing. However, interfacing to the array, tuning its …
toward ultrafast non-conventional computing. However, interfacing to the array, tuning its …
Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge
W Singer - Proceedings of the National Academy of …, 2021 - National Acad Sciences
Current concepts of sensory processing in the cerebral cortex emphasize serial extraction
and recombination of features in hierarchically structured feed-forward networks in order to …
and recombination of features in hierarchically structured feed-forward networks in order to …
631% room temperature tunnel magnetoresistance with large oscillation effect in CoFe/MgO/CoFe (001) junctions
We demonstrate tunnel magnetoresistance (TMR) ratios of up to 631% at room temperature
(RT) using CoFe/MgO/CoFe (001) epitaxial magnetic tunnel junctions (MTJs). The TMR ratio …
(RT) using CoFe/MgO/CoFe (001) epitaxial magnetic tunnel junctions (MTJs). The TMR ratio …