What are the Challenges in Integrating AI and Big Data in Nanotechnology?
Despite the potential benefits, there are several challenges to be addressed:
Data Quality: Ensuring the accuracy and consistency of nanomaterial data is crucial for reliable AI predictions. Computational Resources: Processing large datasets requires substantial computational power and infrastructure. Interdisciplinary Collaboration: Effective integration of AI and Big Data requires collaboration between domain experts in nanotechnology, computer science, and data science.
