7 citations · 7 across the 3 of their papers we have counts for
3 papers
Near-energy-free Photonic Fourier Transformation for Convolution Operation Acceler
Hangbo Yang, Nicola Peserico, Shurui Li +7
Convolutional operations are computationally intensive in artificial intelligence services, and their overhead in electronic hardware limits machine learning scaling. Here, we intr…
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
Shurui Li, Hangbo Yang, Chee Wei Wong +2
The last few years have seen a lot of work to address the challenge of low-latency and high-throughput convolutional neural network inference. Integrated photonics has the potentia…
Nonlinear Optical Joint Transform Correlator for Low Latency Convolution Operations
Jonathan K. George, Maria Solyanik-Gorgone, Hangbo Yang +2
Convolutions are one of the most relevant operations in artificial intelligence (AI) systems. High computational complexity scaling poses significant challenges, especially in fast…