Journal
LASER & PHOTONICS REVIEWS
Volume 16, Issue 5, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/lpor.202100399
Keywords
artificial intelligence; computational imaging; multi-modal fibers; neural networks; photonics; quantum optics; spectroscopy
Categories
Funding
- European Union project CRIMSON [101016923]
- Regione Lombardia project NEWMED [POR FESR 2014-2020]
- Amaldi Research Center - Ministero dell'Istruzione dell'Universita della Ricerca (Ministry of Education, University and Research) program Dipartimento di Eccellenza [CUP:B81I18001170001]
- Politecnico di Milano within the CRUI-CARE Agreement
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In the last decades, artificial intelligence and photonics have seen significant development and their promising two-way synergy has emerged. AI methods can control complex photon processes, while photonics can accelerate the development of AI tasks.
The last decades saw a huge rise of artificial intelligence (AI) as a powerful tool to boost industrial and scientific research in a broad range of fields. AI and photonics are developing a promising two-way synergy: on the one hand, AI approaches can be used to control a number of complex linear and nonlinear photonic processes, both in the classical and quantum regimes; on the other hand, photonics can pave the way for a new class of platforms to accelerate AI-tasks. This review provides the reader with the fundamental notions of machine learning (ML) and neural networks (NNs) and presents the main AI applications in the fields of spectroscopy and chemometrics, computational imaging (CI), wavefront shaping and quantum optics. The review concludes with an overview of future developments of the promising synergy between AI and photonics.
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