Confluence of Photonics and Artificial Intelligence
Over the past decades, significant advances have been made in the fields of photonic technologies, artificial intelligence, and machine learning techniques. Recent AI progress in language models, perception and self-learning capability has had a significant impact on a wide range of communities. The new photonics enhances AI with faster data processing, reduced energy consumption, and improved interconnects, enabling more efficient and powerful AI systems. In this paper, we will highlight the synchroneity of these advances from performance enhancement of AI processing by photonics and advanced photonics with AI processing, leading to new photonic neural networks for future photonic AI processors.
Authors
- Young-Kai Chen
Institutions
- Coherent (United States) (US)
Publication Details
- Journal
- IEEE Journal of Selected Topics in Quantum Electronics
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1109/jstqe.2025.3552430
- Citations
- 1
- Primary Topic
- Ocular and Laser Science Research
- Type
- article
- Field-Weighted Citation Impact
- 1.71