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Neuromorphic HW That Detects Motion Changes 4X Faster (Beihang, BIT, KAUST, Cambridge et al.)

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A new technical paper titled “Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors” was published by researchers at Beihang University, Beijing Institute of Technology, KAUST, University of Cambridge and others.

Excerpt from Abstract

“We introduce a neuromorphic temporal-attention hardware that emulates the interaction between the retina and the lateral geniculate nucleus (LGN) to extract temporal motion cues directly in hardware. Using a two-dimensional synaptic transistor array, the system encodes brightness changes and accumulates them in analog, non-volatile states, generating compact regions of interest (ROIs). “

Find the technical paper here.  February 2026.

Wang, S., Zhao, J., Pu, T. et al. Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors. Nat Commun 17, 1215 (2026). https://doi.org/10.1038/s41467-026-68659-y.

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



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