AI Data Acquisition for the Physical World

From Distributed Modular Data Collection to Engineering-Grade Intelligent Systems 1. The Evolution of AI: From Model-Driven to Data-Driven Systems From an industrial perspective, the development of artificial intelligence has broadly progressed through several stages: rule-based systems, machine learning, deep learning, and, most recently, large foundation models. In the earlier phases, the primary drivers of AI advancement were algorithmic innovation and increased computational power. Rapid improvements in model capability enabled large-scale deployment of perception, recognition, and generative applications.As model architectures gradually converge and...