AI boosts photonics and vice versa

Keisuke Goda,Guohai Situ,Paul Westbrook,Cheng Lei,Bahram Jalali

doi:10.1063/5.0017902

Keisuke Goda, Guohai Situ + Show 3 more

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AI boosts photonics and vice versa

Highlights

The notion of artificial intelligence (AI) was first introduced in 1955, the breathtaking evolution of deep learning in the last several years has shifted the field of AI from largely theoretical studies in the discipline of computer science to the development of real-life applications such as astronomical observation,5,6 drug design,7,8 medical imaging,9,10 flow cytometry,11–14 distributed sensing,15 speech recognition,16,17 finance,18,19 and advertising
AI-generated results in these applications have been proven comparable or even superior to the performance of human experts.10. This major success stems from deep learning based on techniques such as artificial neural networks and deep neural networks which are capable of revealing obscured patterns beyond human recognition
The Special Topic contains a collection of 12 original research articles and 2 perspective articles contributed by theorists, modelers, and experimentalists

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With the advent of digital technology, big data, and deep learning, the last decade has undoubtedly seen a dramatic change in the landscape of science, industry, defense, and medicine.1–4 the notion of artificial intelligence (AI) was first introduced in 1955, the breathtaking evolution of deep learning in the last several years has shifted the field of AI from largely theoretical studies in the discipline of computer science to the development of real-life applications such as astronomical observation,5,6 drug design,7,8 medical imaging,9,10 flow cytometry,11–14 distributed sensing,15 speech recognition,16,17 finance,18,19 and advertising.20,21 In general, AI simulates human intelligence to identify recurring patterns based on past events and develop predictive models with the help of machine learning algorithms that recognize trends and predict future events.

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