72 citations · 155 across the 12 of their papers we have counts for
12 papers
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
Ilker Oguz, Louis J. E. Suter, Jih-Liang Hsieh +4
The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing si…
Optical Diffusion Models for Image Generation
Ilker Oguz, Niyazi Ulas Dinc, Mustafa Yildirim +6
Diffusion models generate new samples by progressively decreasing the noise from the initially provided random distribution. This inference procedure generally utilizes a trained n…
Programming the scalable optical learning operator with spatial-spectral optimization
Yi Zhou, Jih-Liang Hsieh, Ilker Oguz +6
Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high en…
Multicasting Optical Reconfigurable Switch
Niyazi Ulas Dinc, Mustafa Yildirim, Ilker Oguz +2
Artificial Intelligence (AI) demands large data flows within datacenters, heavily relying on multicasting data transfers. As AI models scale, the requirement for high-bandwidth and…
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor
Jingtian Hu, Kun Liao, Niyazi Ulas Dinc +14
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resoluti…
Volume holograms with linear diffraction efficiency relation by (3+1)D printing
Niyazi Ulas Dinc, Christophe Moser, Demetri Psaltis
We demonstrate the fabrication of volume holograms using 2-photon polymerization with dynamic control of light exposure. We refer to our method as (3+1)D printing. Volume holograms…
Nonlinear Processing with Linear Optics
Mustafa Yildirim, Niyazi Ulas Dinc, Ilker Oguz +2
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple layers of data processing to extract hidden representations, albeit at the cost of large electron…
Forward-Forward Training of an Optical Neural Network
Ilker Oguz, Junjie Ke, Qifei Wang +6
Neural networks (NN) have demonstrated remarkable capabilities in various tasks, but their computation-intensive nature demands faster and more energy-efficient hardware implementa…
Programming Nonlinear Propagation for Efficient Optical Learning Machines
Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinc +5
The ever-increasing demand for processing data with larger machine learning models requires more efficient hardware solutions due to limitations such as power dissipation and scala…
Direct (3+1)D laser writing of graded-index optical elements
Xavier Porte, Niyazi Ulas Dinc, Johnny Moughames +6
We propose single-step additive fabrication of graded-index optical elements by introducing the light exposure as the additional dimension to three-dimensional (3D) laser writing,…
Optical Neural Networks: The 3D connection
Niyazi Ulas Dinc, Demetri Psaltis, Daniel Brunner
We motivate a new canonical strategy for integrating photonic neural networks (NNs) by leveraging 3D printing. Our believe is that a NN's parallel and dense connectivity is not sca…