As artificial intelligence races toward real-time, on-sensor vision, conventional CMOS cameras face a "power wall" and a "memory wall." Now, researchers from Hebei University, led by Professor Xiaobing Yan, have unveiled a low-energy photoelectric memristor that acts like an optical synapse, offering a one-chip solution to sense, store and process visual information the way our retina does.
Why Low-Energy Photo-Memristors Matter
Innovative Design & Features
Applications & Future Outlook
This work charts a clear roadmap for integrating sense-memory-compute pixels into bionic eyes, smart cameras and neuromorphic edge devices. Expect slimmer, smarter visual systems as the team scales the arrays toward megapixel chips and explores new oxide stacks for even lower energy and higher speed.
Nano-Micro Letters
Experimental study
Low Energy Consumption Photoelectric Memristors with Multi‑Level Linear Conductance Modulation in Artificial Visual Systems Application
1-Jul-2025