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Programmable ferroelectric bionic vision hardware with selective attention for high-precision image classification

Engineering and Technology

Programmable ferroelectric bionic vision hardware with selective attention for high-precision image classification

R. Yu, L. He, et al.

Discover groundbreaking research by Rengjian Yu, Lihua He, Changsong Gao, Xianghong Zhang, Enlong Li, Tailiang Guo, Wenwu Li, and Huipeng Chen that explores programmable ferroelectric bionic vision hardware, emulating selective attention for enhanced image classification. This innovative work showcases a remarkable accuracy of 95.7% in multi-wavelength image processing, pushing the frontiers of bioinspired optoelectronics.

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