AI Functional Domains: A Visual Overview of Applications

This infographic provides a structured overview of key applications of Artificial Intelligence (AI) across functional domains, including Natural Language Processing (NLP), Generative AI, Generative Adversarial Networks (GANs), Computer Vision, Automation, Robotics, and Data Visualisation. Each domain is linked to practical uses such as speech recognition, language translation, text/image generation, object detection, anomaly detection, physical automation, and dashboarding. Central to the diagram is the role of Machine Learning, Deep Learning, Data Analytics, and Pattern Recognition as enabling technologies. The diagram is intended for academic, municipal, and professional audiences seeking to understand or communicate AI’s multi-domain capabilities.

本信息图对人工智能（Artificial Intelligence，AI）在跨功能领域的核心应用场景进行了结构化概览，涵盖自然语言处理（Natural Language Processing，NLP）、生成式AI（Generative AI）、生成对抗网络（Generative Adversarial Networks，GANs）、计算机视觉（Computer Vision）、自动化（Automation）、机器人技术（Robotics）与数据可视化（Data Visualisation）。每个领域均对应语音识别（Speech Recognition）、语言翻译（Language Translation）、文本/图像生成（Text/Image Generation）、目标检测（Object Detection）、异常检测（Anomaly Detection）、物理自动化（Physical Automation）以及数据仪表盘制作（Dashboarding）等实际应用场景。该图的核心在于，机器学习（Machine Learning）、深度学习（Deep Learning）、数据分析（Data Analytics）与模式识别（Pattern Recognition）作为赋能技术所发挥的关键作用。本信息图面向学术机构、市政部门与专业从业者，旨在助力其理解或传播人工智能的多领域应用能力。