AI supports interdisciplinary research by integrating data and insights from various scientific fields in several key ways:
Data Aggregation and Integration
AI can aggregate and integrate large datasets from different disciplines, providing a unified view that facilitates comprehensive analysis. Techniques such as natural language processing (NLP) and machine learning (ML) can be used to extract and harmonize data from diverse sources, including scientific literature, databases, and experimental results.