收稿:2025-04-24,
修回:2025-08-11,
录用:2025-08-23,
网络出版:2025-09-29,
纸质出版:2025-12
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Zilong Zhang, Lingyu Kong, Lianghaoyue Zhang, 等. Structured light meets machine intelligence[J]. eLight, 2025,5.
Zilong Zhang, Lingyu Kong, Lianghaoyue Zhang, et al. Structured light meets machine intelligence[J]. eLight, 2025, 5.
Zilong Zhang, Lingyu Kong, Lianghaoyue Zhang, 等. Structured light meets machine intelligence[J]. eLight, 2025,5. DOI: 10.1186/s43593-025-00102-z.
Zilong Zhang, Lingyu Kong, Lianghaoyue Zhang, et al. Structured light meets machine intelligence[J]. eLight, 2025, 5. DOI: 10.1186/s43593-025-00102-z.
Structured light
where light is tailored in all its degrees of freedom
has shown tremendous power in unlocking new modalities of light
with its impact felt across dimensions
disciplines
and applications. This richly textured light comes with deeply embedded complexity
making the design
analysis
and recognition of such complex light patterns highly non-trivial. In recent years artificial intelligence (AI) has come to the fore
not only for the design
characterization
and optimization of structured light but also for increasingly important roles in adding new functionalities and breaking old paradigms. An exciting twist is the flip side of the coin
where complex light in complex media acts as a light-speed neural network
ushering in a new era of ultrafast optical-based “machines” for intelligence and learning. In this review
we focus on how AI has enhanced structured light technologies
and vice versa
touching on imaging
microscopy
sensing
communication
and optical neural networks as topical application areas
while covering scales from the macroscopic to the microscopic
and from classical to quantum. We highlight the symbiotic relationship between intelligence and light in these processes and offer a perspective on the open challenges and future prospects of this emerging research direction.
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