Name
Abstract | ||
|---|---|---|
Artificial Neural Networks (ANN) have dramatically improved performance for many machine learning tasks. Recently, special hardware has been developed to carry out this particular type of algorithms. We demonstrate new architectures based on Photonic Integrated Circuits for carrying out ANN and other statistical processing tasks. We will discuss the challenges and opportunities of such approach, and how it can enable significant enhancement in computational speed, latency and power efficiency over state of the arts electronics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.23919/PS.2019.8817791 | 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC) |
Keywords | Field | DocType |
(O4) Photonic Integrated Circuits | Electrical efficiency,Computer architecture,Latency (engineering),Computer science,Electronics,Photonic integrated circuit,Computational statistics,Artificial neural network,Photonics,Statistical processing | Conference |
ISBN | Citations | PageRank |
978-1-5386-7651-6 | 2 | 0.37 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yichen Shen | 1 | 16 | 3.09 |
| Yanfei Bai | 2 | 2 | 0.37 |