2 citations · 3 across the 2 of their papers we have counts for
3 papers
Real-time Multi-Task Diffractive Deep Neural Networks via Hardware-Software Co-design
Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez +2
Deep neural networks (DNNs) have substantial computational requirements, which greatly limit their performance in resource-constrained environments. Recently, there are increasing…
Machine Learning enables Ultra-Compact Integrated Photonics through Silicon-Nanopattern Digital Metamaterials
Sourangsu Banerji, Apratim Majumder, Alex Hamrick +2
In this work, we demonstrate three ultra-compact integrated-photonics devices, which are designed via a machine-learning algorithm coupled with finite-difference time-domain (FDTD)…
Machine Learning enables Design of On-chip Integrated Silicon T-junctions with footprint of 1.2 m x 1.2 m
Sourangsu Banerji, Apratim Majumder, Alex Hamrick +2
To date, various optimization algorithms have been employed to design and improve the performance of nanophotonic structures. Here, we propose to utilize a machine-learning algorit…