The research team successfully integrated miniaturized multilayer optical diffractive neural networks onto the distal end of MMFs, enabling full-optical image transmission. The system achieved exceptional performance in imaging handwritten digits and demonstrated high-quality optical image reconstruction.
A team of Chinese researchers introduced CNNs into optics, developing an ultrafast convolutional optical neural network (ONN) for efficient and clear imaging. The ONN achieves true optical computing speeds, significantly enhancing image quality and enabling real-time dynamic imaging.
Researchers developed a nanoprinted AI optical circuit that processes information at the speed of light without power consumption. The circuit's neural density is comparable to human brain density, enabling efficient processing of near-infrared inference on CMOS chips.
The development of sub-diffraction optical writing overcomes the limitation of diffractive light, enabling a much-improved data density. The technology achieves an estimated storage capacity of 700 TB on a 12-cm optical disk, comparable to 28,000 Blu-ray disks.