Stage Approach
A stage approach in various fields leverages a sequential process of increasingly complex or refined models to achieve a target task. Current research focuses on optimizing this process, for example, by incorporating uncertainty quantification to improve decision-making in AI deployment or using deep ensemble learning and transfer learning to enhance accuracy in tasks like hand gesture recognition and medical summarization. This strategy is proving valuable across diverse applications, from improving the efficiency and accuracy of AI systems in resource-constrained environments to advancing human-computer interaction and medical data analysis. The resulting improvements in accuracy, efficiency, and robustness are driving significant advancements in several scientific domains.