Niyazi Ulas Dinc

TL;DR: In this paper, a canonical strategy for integrating photonic neural networks (NN) by leveraging 3D printing is presented. But this strategy is not scalable without 3D integration, as shown in Figure 1.

TL;DR: In this paper , the authors present a framework that uses multiple scattering that is capable of synthesizing programmable linear and nonlinear transformations concurrently at low optical power by leveraging the nonlinear relationship between the scattering potential, represented by data, and the scattered field.

TL;DR: In this article , the authors review how 3D-2D transformations are tackled using iterative techniques and neural networks in a variety of fields such as optical tomography, additive manufacturing, and 3D optical memories.