clustermarket：2024年自动化和人工智能在研究中的应用-当前应用和未来展望白皮书（英文版）

In any research project, data is crucial, but traditional methods of manual data collection and processing can be both time-consuming and error-prone. As laboratories face increasing demands for high throughput, there has been a surge in the development of automated data management processes.2 These methods enable large amounts of data to be collected, aggregated, validated, and translated with minimal human intervention, saving time and producing more accurate results.2 One significant devel