Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.
|Title of host publication||21st International Conference on Transparent Optical Networks, ICTON 2019|
|Publication status||E-pub ahead of print - 19 Sep 2019|
|Event||2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France|
Duration: 9 Jul 2019 → 13 Jul 2019
|Name||2019 21st International Conference on Transparent Optical Networks (ICTON)|
|Conference||2019 21st International Conference on Transparent Optical Networks (ICTON)|
|Period||9/07/19 → 13/07/19|
Bibliographical notePublisher: IEEE.
Funding: Royal Academy of Engineering Research Fellowship RF\201718\17154.
- Fiber-optic communications
- Machine learning
- Neural networks
- Neuromorphic processing
- Optical signal processing