Optical neural networks: progress and challenges
National University of Defense Technology · National Engineering Research Center for Information Technology in Agriculture · +1 more institution
Abstract
Artificial intelligence has prevailed in all trades and professions due to the assistance of big data resources, advanced algorithms, and high-performance electronic hardware. However, conventional computing hardware is inefficient at implementing complex tasks, in large part because the memory and processor in its computing architecture are separated, performing insufficiently in computing speed and energy consumption. In recent years, optical neural networks (ONNs) have made a range of research progress in optical computing due to advantages such as sub-nanosecond latency, low heat dissipation, and high parallelism. ONNs are in prospect to provide support regarding computing speed and energy consumption for…
Citation impact
- FWCI
- 56.96
- Percentile
- 100%
- References
- 169
Authors
8- TFTingzhao FuCorresponding
National University of Defense Technology
- JZJianfa Zhang
National University of Defense Technology
- RCRun Cang Sun
National Engineering Research Center for Information Technology in Agriculture, Tsinghua University
- YHYuyao Huang
National Engineering Research Center for Information Technology in Agriculture, Tsinghua University
- WXWei Xu
National University of Defense Technology
Topics & keywords
- Computer science
- Scalability
- Energy consumption
- Optical computing
- Artificial neural network
- Computer architecture
- Low latency (capital markets)
- Distributed computing
- Affordable and clean energy