In Light: Science & Applications journal UCLA researchers introduce an innovative design for diffractive deep neural networks (D2NNs). This new architecture, termed Pyramid-D2NN (P-D2NN), achieves unidirectional image magnification and demagnification, significantly reducing the number of diffractive features required.
