A dynamic convergence between metaphotonics and artificial intelligence (AI) is underway. In this review, AI is conceptualized as a tool for mapping input and output data. From this perspective, an analysis is conducted on how input and output data are set, aiming to discern the following three key trends in the utilization of AI within the field of metaphotonics. 1. The advancement of forward modeling and inverse design, utilizing AI for mapping metaphotonic device design and the corresponding optical properties. 2. Optical neural networks (ONNs), an emerging field that implements AI using metaphotonics by processing information within electromagnetic waves. 3. The field of metasensors, employing metamaterials to encode optical information for measurement and processing using AI to demonstrate high performance sensing. We round up the review with our perspectives on AI and metaphotonics research and discuss the future trends, challenges, and developments.

中文翻译：

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映射信息和光：人工智能元光子学的趋势

元光子学和人工智能 (AI) 之间的动态融合正在进行中。在这篇评论中，人工智能被概念化为映射输入和输出数据的工具。从这个角度出发，对输入和输出数据的设置方式进行分析，旨在洞察人工智能在元光子学领域应用的三个关键趋势。 1. 正向建模和逆向设计的进步，利用人工智能绘制元光子器件设计和相应的光学特性。 2. 光神经网络（ONN），一个新兴领域，通过处理电磁波内的信息，利用元光子学实现人工智能。 3.元传感器领域，利用超材料对光学信息进行编码，利用人工智能进行测量和处理，以展示高性能传感。我们从人工智能和元光子学研究的角度总结了这篇评论，并讨论了未来的趋势、挑战和发展。