Publications by authors named "Biyi Jiang"
Neuro-inspired vision systems hold great promise to address the growing demands of mass data processing for edge computing, a distributed framework that brings computation and data storage closer to the sources of data. In addition to the capability of static image sensing and processing, the hardware implementation of a neuro-inspired vision system also requires the fulfilment of detecting and recognizing moving targets. Here, we demonstrated a neuro-inspired optical sensor based on two-dimensional NbS/MoS hybrid films, which featured remarkable photo-induced conductance plasticity and low electrical energy consumption.
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- Two-terminal self-rectifying (SR) synaptic memristors are promising for neuromorphic computing due to their ability to suppress current paths in dense 3D integrated systems.
- A new SR-synaptic memristor and cross-point array have been developed, showing exceptionally high weight potentiation linearity (0.9997) and capabilities for image contrast enhancement and background filtering.
- An innovative unsupervised self-organizing map (SOM) neural network achieves high recognition accuracy (0.98) and training efficiency, addressing the challenges faced by SR memristors in traditional artificial neural networks (ANNs) and opening new opportunities for scalable, effective neuromorphic computing.