Data Acquisition

Data acquisition focuses on efficiently and accurately collecting, processing, and managing data from diverse sources, aiming to maximize information quality and minimize resource consumption. Current research emphasizes improving data acquisition strategies through techniques like active learning, model-based selection, and the integration of AI, including large language models and deep reinforcement learning, to optimize data collection and processing pipelines. These advancements are crucial for various fields, from medical imaging and autonomous driving to precision agriculture and high-energy physics, enabling more efficient data analysis and improved decision-making in complex systems.