Magnetization vector rotation reservoir computing operated by redox mechanism
W Namiki, D Nishioka, T Tsuchiya, T Higuchi… - Nano Letters, 2024 - ACS Publications
Physical reservoir computing is a promising way to develop efficient artificial intelligence
using physical devices exhibiting nonlinear dynamics. Although magnetic materials have …
using physical devices exhibiting nonlinear dynamics. Although magnetic materials have …
[PDF][PDF] Investigation of analog resistive switching in solution-processed lead-free perovskite Cs2SnI6 memristor for synaptic application
Efficient learning processes in neuromorphic computing and the advancement of next-
generation artificial intelligence are heavily dependent on synaptic functions, specifically …
generation artificial intelligence are heavily dependent on synaptic functions, specifically …
Realize ultralow-energy-consumption photo-synaptic device based on a single (Al, Ga) N nanowire for neuromorphic computing
X Gu, M Zhou, Y Zhao, Q Zhang, J Zhang, Y Huang… - Nano Research, 2024 - Springer
The rapid development of artificial intelligence poses an urgent need for low-energy-
consumption and small-sized artificial photonic synapses. Here, it is pretty novel to …
consumption and small-sized artificial photonic synapses. Here, it is pretty novel to …
Electrical Control Grain Dimensionality with Multilevel Magnetic Anisotropy
In alignment with the increasing demand for larger storage capacity and longer data
retention, the electrical control of magnetic anisotropy has been a research focus in the …
retention, the electrical control of magnetic anisotropy has been a research focus in the …
Asymmetric transition of electrical resistance in an all-solid-state redox device with Fe3O4 and Li-ion electrolyte thin films for physical reservoir computing
W Namiki, T Tsuchiya, D Nishioka… - Japanese Journal of …, 2024 - iopscience.iop.org
In recent years, ion-gating devices have been used in artificial neuromorphic computing and
achieved high performance for time-series data processing. However, the origin of this …
achieved high performance for time-series data processing. However, the origin of this …
Investigation of Analog Resistive Switching in Solution-Processed Lead-Free Perovskite Memristor for Synaptic Application
VP Singh, CP Singh, H Ranjan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Efficient learning processes in neuromorphic computing and the advancement of next-
generation artificial intelligence are heavily dependent on synaptic functions, specifically …
generation artificial intelligence are heavily dependent on synaptic functions, specifically …
[HTML][HTML] Deep-UV-photo-excited synaptic Ga2O3 nano-device with low-energy consumption for neuromorphic computing
L Yang, X Gu, M Zhou, J Zhang, Y Huang… - Journal of …, 2024 - jos.ac.cn
Synaptic nano-devices have powerful capabilities in logic, memory and learning, making
them essential components for constructing brain-like neuromorphic computing systems …
them essential components for constructing brain-like neuromorphic computing systems …
Extremely energy-efficient, magnetic field-free, skyrmion-based memristors for neuromorphic computing
The human brain can process information more efficiently than computers due to the
dynamics of neurons and synapses. Mimicking such a system can lead to the practical …
dynamics of neurons and synapses. Mimicking such a system can lead to the practical …