1 citations · 2 across the 3 of their papers we have counts for
3 papers
physics.optics2023
Optical ReLU-like Activation Function Based on a Semiconductor Laser with Optical Injection
Guanting Liu, Yiwei Shen, Ruiqian Li +3
Artificial neural networks usually consist of successive linear multiply-accumulate operations and nonlinear activation functions. However, most optical neural networks only achiev…
cs.AR2023★ 1 cited
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
Sourjya Roy, Cheng Wang, Anand Raghunathan
Progress in artificial intelligence and machine learning over the past decade has been driven by the ability to train larger deep neural networks (DNNs), leading to a compute deman…
physics.optics2023★ 1 cited
Radically Uniform Spike Trains in Optically Injected Quantum Cascade Oscillators
Yibo Peng, Siting Liu, Vassilios Kovanis +1
It has been found that noise-induced excitability in quantum well and quantum dot semiconductor laser systems usually produces spike patterns of non-uniform amplitude. In this lett…