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[HTML][HTML] AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing
J Chen, H Du, H Qu, H Gao, Y Gu, Y Zhu, W Ye… - APL Machine …, 2024 - pubs.aip.org
Artificial optoelectronic synaptic transistors have attracted extensive research interest as an
essential component for neuromorphic computing systems and brain emulation applications …
essential component for neuromorphic computing systems and brain emulation applications …
Adjustable artificial neuron based on vortex magnetic tunnel junction
Y Wu, Y Luo, L Zhang, S Dai, B Zhang, Y Zhou… - Applied Physics …, 2024 - pubs.aip.org
In this Letter, we demonstrate an adjustable artificial neuron based on vortex magnetic
tunnel junction (MTJ). By applying a bias current to vortex MTJ, the device exhibits splendid …
tunnel junction (MTJ). By applying a bias current to vortex MTJ, the device exhibits splendid …
Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses
Multifunctional hardware technologies for neuromorphic computing are essential for
replicating the complexity of biological neural systems, thereby improving the performance …
replicating the complexity of biological neural systems, thereby improving the performance …
[HTML][HTML] Emerging non-volatile memory (NVM) technologies based nano-oscillators: Materials to applications
This comprehensive study provides a detailed review toward ongoing research on emerging
non-volatile memory technologies based nano-oscillators, ie, from the perspective of …
non-volatile memory technologies based nano-oscillators, ie, from the perspective of …
Microwave artificial neurons based on magnetic tunnel junction nano-oscillators for image recognition and denoising
L Zhang, Z Liu, K Zeng, Y Luo, J Zeng… - Japanese Journal of …, 2024 - iopscience.iop.org
We report a microwave artificial neuron based on magnetic tunnel junction spin torque nano-
oscillator (STNO). Based on STNO neurons, the three-layer full connected artificial neural …
oscillator (STNO). Based on STNO neurons, the three-layer full connected artificial neural …
Analog Spiking-Rate Neuromorphic System for Efficient RF Source Localization
Radiofrequency localization is pivotal for the internet of things ecosystem, requiring
solutions that are both precise and energy-efficient. While traditional machine learning and …
solutions that are both precise and energy-efficient. While traditional machine learning and …