Photonic neural networks can perform complex nonlinear computations using only standard telecom components, achieving competitive accuracy with far fewer parameters than software models and maintaining performance under realistic hardware constraints.
Researchers built small photonic neural networks using standard telecom components that perform nonlinear computations entirely in optics, without converting to electronics.