The hardware implementation of advanced artificial intelligence (AI) technology based on complex deep learning and machine learning algorithms is constricted by the limitation of …
M Zhang, Z Fan, X Jiang, H Zhu, L Chen, Y Xia… - …, 2020 - degruyter.com
The synapse is one of the fundamental elements in human brain performing functions such as learning, memorizing, and visual processing. The implementation of synaptic devices to …
Photodetectors and optoelectronic synapses are vital for construction of artificial visual perception system. However, the hardware implementations of optoelectronic-neuromorphic …
Q Liu, L Yin, C Zhao, Z Wu, J Wang, X Yu, Z Wang… - Nano Energy, 2022 - Elsevier
An all-in-one artificial synapse integrating central nervous and sensory nervous functions utilizing low-dimensional metal-oxide heterojunction is demonstrated in this work. With an …
M Kumar, S Abbas, J Kim - ACS applied materials & interfaces, 2018 - ACS Publications
The neuromorphic system processes enormous information even with very low energy consumption, which practically can be achieved with photonic artificial synapse. Herein, a …
Y Sun, Y Ding, D Xie, J Xu, M Sun… - Advanced Optical …, 2021 - Wiley Online Library
Plasticity modulation, which enables the biological synapses to express rich functionality in a tunable way, is an important technique to comprehensively emulate the synaptic functions …
Y Xu, Y Shi, C Qian, P Xie, C Jin, X Shi, G Zhang… - Nano Letters, 2023 - ACS Publications
Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic …
Although the energy consumption of reported neuromorphic computing devices inspired by biological systems has become lower than traditional memory, it still remains greater than …
Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in …